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Maarten de Rijke
Person information
- affiliation (PhD 1993): University of Amsterdam (UvA), Amsterdam, The Netherlands
- affiliation (former): University of Warwick, Department of Computer Science, Coventry, UK
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2020 – today
- 2025
- [j154]Shiguang Wu
, Xin Xin
, Pengjie Ren
, Zhumin Chen
, Jun Ma
, Maarten de Rijke
, Zhaochun Ren
:
Learning Robust Sequential Recommenders through Confident Soft Labels. ACM Trans. Inf. Syst. 43(1): 21:1-21:27 (2025) - [j153]Wenjie Wang
, Zheng Liu
, Fuli Feng
, Zhicheng Dou
, Qingyao Ai
, Grace Hui Yang
, Defu Lian
, Lu Hou
, Aixin Sun
, Hamed Zamani
, Donald Metzler
, Maarten de Rijke
:
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 43(2): 27:1-27:6 (2025) - [c609]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. AAAI 2025: 12229-12237 - [c608]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. AAAI 2025: 13295-13303 - [c607]Clemencia Siro
, Zahra Abbasiantaeb
, Yifei Yuan
, Mohammad Aliannejadi
, Maarten de Rijke
:
Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search. CHIIR 2025: 273-291 - [c606]Yuyue Zhao
, Jin Huang
, David Vos
, Maarten de Rijke
:
Revisiting Language Models in Neural News Recommender Systems. ECIR (4) 2025: 161-176 - [c605]Yuanna Liu
, Ming Li
, Mohammad Aliannejadi
, Maarten de Rijke
:
Repeat-Bias-Aware Optimization of Beyond-Accuracy Metrics for Next Basket Recommendation. ECIR (1) 2025: 214-229 - [c604]Pooya Khandel
, Andrew Yates
, Ana Lucia Varbanescu
, Maarten de Rijke
, Andy D. Pimentel
:
PEIR: Modeling Performance in Neural Information Retrieval. ECIR (2) 2025: 279-294 - [c603]Pengjie Ren
, Ruiqi Li, Zhaochun Ren
, Zhumin Chen
, Maarten de Rijke
, Yangjun Zhang:
Malevolence Attacks Against Pretrained Dialogue Models. ECIR (1) 2025: 372-388 - [c602]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Changjiang Zhou, Maarten de Rijke
, Xueqi Cheng
:
On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. ECIR (2) 2025: 407-423 - [c601]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Shihao Liu
, Shuaiqiang Wang
, Dawei Yin
, Xueqi Cheng
:
Generative Retrieval for Book Search. KDD (1) 2025: 2606-2617 - [c600]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
:
Robust Information Retrieval. WSDM 2025: 1008-1011 - [c599]Zihan Wang
, Ziqi Zhao
, Yougang Lyu
, Zhumin Chen
, Maarten de Rijke
, Zhaochun Ren
:
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. WWW 2025: 4183-4195 - [i252]Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke:
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation. CoRR abs/2501.06362 (2025) - [i251]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book search. CoRR abs/2501.11034 (2025) - [i250]Yuyue Zhao, Jin Huang, David Vos, Maarten de Rijke:
Revisiting Language Models in Neural News Recommender Systems. CoRR abs/2501.11391 (2025) - [i249]Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke:
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms. CoRR abs/2502.11883 (2025) - [i248]Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. CoRR abs/2502.18702 (2025) - [i247]Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla:
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning. CoRR abs/2503.00897 (2025) - [i246]Fatemeh Sarvi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding Visual Saliency of Outlier Items in Product Search. CoRR abs/2503.23596 (2025) - [i245]Maarten de Rijke, Bart Van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai
, Renato Calzone, Declan Curran, Getnet Demil
, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Information Retrieval for Climate Impact. CoRR abs/2504.01162 (2025) - [i244]Yougang Lyu, Shijie Ren, Yue Feng, Zihan Wang, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Cognitive Debiasing Large Language Models for Decision-Making. CoRR abs/2504.04141 (2025) - [i243]Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke:
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval. CoRR abs/2504.05181 (2025) - [i242]Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren:
Constrained Auto-Regressive Decoding Constrains Generative Retrieval. CoRR abs/2504.09935 (2025) - [i241]Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin:
Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. CoRR abs/2504.13482 (2025) - [i240]Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. CoRR abs/2504.14991 (2025) - [i239]Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi:
Adaptive Orchestration of Modular Generative Information Access Systems. CoRR abs/2504.17454 (2025) - [i238]Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Replication and Exploration of Generative Retrieval over Dynamic Corpora. CoRR abs/2504.17519 (2025) - [i237]Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo:
An Empirical Study of Evaluating Long-form Question Answering. CoRR abs/2504.18413 (2025) - [i236]Santiago de Leon-Martinez, Jingwei Kang, Róbert Móro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mária Bieliková:
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. CoRR abs/2504.20792 (2025) - 2024
- [j152]Shangsong Liang
, Zhou Pan
, Wei Liu
, Jian Yin
, Maarten de Rijke
:
A Survey on Variational Autoencoders in Recommender Systems. ACM Comput. Surv. 56(10): 268 (2024) - [j151]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce. Found. Trends Inf. Retr. 18(4-5): 417-690 (2024) - [j150]Sebastian Schelter
, Stefan Grafberger, Maarten de Rijke
:
Snapcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proc. VLDB Endow. 17(12): 4273-4276 (2024) - [j149]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi
, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke
, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li
, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao:
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58(1): 1-41 (2024) - [j148]Songgaojun Deng
, Olivier Sprangers
, Ming Li
, Sebastian Schelter
, Maarten de Rijke
:
Domain Generalization in Time Series Forecasting. ACM Trans. Knowl. Discov. Data 18(5): 113:1-113:24 (2024) - [j147]Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke:
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j146]Weiwei Sun
, Shuyu Guo
, Shuo Zhang
, Pengjie Ren
, Zhumin Chen
, Maarten de Rijke
, Zhaochun Ren
:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Trans. Inf. Syst. 42(1): 17:1-17:29 (2024) - [j145]Clemencia Siro, Mohammad Aliannejadi
, Maarten de Rijke
:
Understanding and Predicting User Satisfaction with Conversational Recommender Systems. ACM Trans. Inf. Syst. 42(2): 55:1-55:37 (2024) - [j144]Yang Fang
, Xiang Zhao
, Weidong Xiao
, Maarten de Rijke
:
Few-shot Learning for Heterogeneous Information Networks. ACM Trans. Inf. Syst. 42(4): 107:1-107:24 (2024) - [j143]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Xueqi Cheng
:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [j142]Jiahuan Pei
, Guojun Yan
, Maarten de Rijke
, Pengjie Ren
:
Mixture-of-Languages Routing for Multilingual Dialogues. ACM Trans. Inf. Syst. 42(6): 165:1-165:33 (2024) - [j141]Romain Deffayet
, Thibaut Thonet
, Dongyoon Hwang
, Vassilissa Lehoux
, Jean-Michel Renders
, Maarten de Rijke
:
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. Trans. Recomm. Syst. 2(3): 25:1-25:34 (2024) - [c598]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c597]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064 - [c596]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317 - [c595]Mohanna Hoveyda, Arjen P. de Vries, Faegheh Hasibi, Maarten de Rijke:
Real World Conversational Entity Linking Requires More Than Zero-Shots. ACL (Findings) 2024: 13938-13946 - [c594]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne
:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. ACL (Findings) 2024: 14623-14635 - [c593]Shashank Gupta
, Harrie Oosterhuis
, Maarten de Rijke
:
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CIKM 2024: 737-747 - [c592]Oliver Young
, Yixing Fan
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Xueqi Cheng
:
GaQR: An Efficient Generation-augmented Question Rewriter. CIKM 2024: 4228-4232 - [c591]Clara Rus
, Gabrielle Poerwawinata
, Andrew Yates
, Maarten de Rijke
:
AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. CIKM 2024: 5400-5404 - [c590]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. ECAI 2024: 3875-3882 - [c589]Amin Abolghasemi
, Leif Azzopardi
, Arian Askari
, Maarten de Rijke
, Suzan Verberne
:
Measuring Bias in a Ranked List Using Term-Based Representations. ECIR (5) 2024: 3-19 - [c588]Yuanna Liu
, Ming Li
, Mozhdeh Ariannezhad
, Masoud Mansoury
, Mohammad Aliannejadi
, Maarten de Rijke
:
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. ECIR (4) 2024: 210-225 - [c587]Clara Rus
, Andrew Yates
, Maarten de Rijke
:
A Study of Pre-processing Fairness Intervention Methods for Ranking People. ECIR (4) 2024: 336-350 - [c586]Yubao Tang
, Ruqing Zhang
, Zhaochun Ren
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. ECIR (5) 2024: 363-368 - [c585]Thong Nguyen
, Mariya Hendriksen
, Andrew Yates
, Maarten de Rijke
:
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. ECIR (2) 2024: 448-464 - [c584]Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. EMNLP 2024: 75-92 - [c583]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. EMNLP (Findings) 2024: 1691-1706 - [c582]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. EMNLP 2024: 5263-5274 - [c581]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP 2024: 14535-14556 - [c580]Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha
, Maarten de Rijke
, Sebastian Schelter
:
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. ICDE 2024: 5177-5183 - [c579]Pooya Khandel
, Andrew Yates
, Ana Lucia Varbanescu
, Maarten de Rijke
, Andy D. Pimentel
:
Distillation vs. Sampling for Efficient Training of Learning to Rank Models. ICTIR 2024: 51-60 - [c578]Sen Li
, Fuyu Lv
, Ruqing Zhang
, Dan Ou
, Zhixuan Zhang
, Maarten de Rijke
:
Text Matching Indexers in Taobao Search. KDD 2024: 5339-5350 - [c577]Songgaojun Deng
, Maarten de Rijke
, Yue Ning
:
Advances in Human Event Modeling: From Graph Neural Networks to Language Models. KDD 2024: 6459-6469 - [c576]Ziyi Ye
, Jingtao Zhan
, Qingyao Ai
, Yiqun Liu
, Maarten de Rijke
, Christina Lioma
, Tuukka Ruotsalo
:
Query Augmentation with Brain Signals. ACM Multimedia 2024: 7561-7570 - [c575]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. NAACL-HLT (Findings) 2024: 1258-1273 - [c574]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. NeurIPS 2024 - [c573]Xiaoyu Zhang
, Ruobing Xie
, Yougang Lyu
, Xin Xin
, Pengjie Ren
, Mingfei Liang
, Bo Zhang
, Zhanhui Kang
, Maarten de Rijke
, Zhaochun Ren
:
Towards Empathetic Conversational Recommender Systems. RecSys 2024: 84-93 - [c572]Shashank Gupta
, Olivier Jeunen
, Harrie Oosterhuis
, Maarten de Rijke
:
Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys 2024: 722-732 - [c571]Chuan Meng
, Negar Arabzadeh
, Arian Askari
, Mohammad Aliannejadi
, Maarten de Rijke
:
Ranked List Truncation for Large Language Model-based Re-Ranking. SIGIR 2024: 141-151 - [c570]Jin Huang
, Harrie Oosterhuis
, Masoud Mansoury
, Herke van Hoof
, Maarten de Rijke
:
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR 2024: 416-426 - [c569]Thilina Chaturanga Rajapakse
, Andrew Yates
, Maarten de Rijke
:
Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. SIGIR 2024: 575-584 - [c568]Ming Li
, Yuanna Liu
, Sami Jullien
, Mozhdeh Ariannezhad
, Andrew Yates
, Mohammad Aliannejadi
, Maarten de Rijke
:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? SIGIR 2024: 924-934 - [c567]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c566]Peibo Li
, Maarten de Rijke
, Hao Xue
, Shuang Ao
, Yang Song
, Flora D. Salim
:
Large Language Models for Next Point-of-Interest Recommendation. SIGIR 2024: 1463-1472 - [c565]Ali Vardasbi
, Maarten de Rijke
, Fernando Diaz
, Mostafa Dehghani
:
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. SIGIR 2024: 1514-1524 - [c564]Philipp Hager
, Romain Deffayet
, Jean-Michel Renders
, Onno Zoeter
, Maarten de Rijke
:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. SIGIR 2024: 1546-1556 - [c563]Yuyue Zhao
, Jiancan Wu
, Xiang Wang
, Wei Tang
, Dingxian Wang
, Maarten de Rijke
:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR 2024: 1796-1806 - [c562]Shiguang Wu
, Wenda Wei
, Mengqi Zhang
, Zhumin Chen
, Jun Ma
, Zhaochun Ren
, Maarten de Rijke
, Pengjie Ren
:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838 - [c561]Hengran Zhang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951 - [c560]Clemencia Siro
, Mohammad Aliannejadi
, Maarten de Rijke
:
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. SIGIR 2024: 1952-1962 - [c559]Jingwei Kang
, Maarten de Rijke
, Harrie Oosterhuis
:
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. SIGIR 2024: 2390-2394 - [c558]Yubao Tang
, Ruqing Zhang
, Zhaochun Ren
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. SIGIR 2024: 3005-3008 - [c557]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
:
Robust Information Retrieval. SIGIR 2024: 3009-3012 - [c556]Bart Van den Hurk
, Maarten de Rijke
, Flora D. Salim
:
MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact. SIGIR 2024: 3044-3046 - [c555]Surya Kallumadi
, Yubin Kim
, Tracy Holloway King
, Maarten de Rijke
, Vamsi Salaka
:
SIGIR 2024 Workshop on eCommerce (ECOM24). SIGIR 2024: 3055-3057 - [c554]Thilina Chaturanga Rajapakse
, Andrew Yates
, Maarten de Rijke
:
Simple Transformers: Open-source for All. SIGIR-AP 2024: 209-215 - [c553]Yubao Tang
, Ruqing Zhang
, Weiwei Sun
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. WWW (Companion Volume) 2024: 1238-1241 - [c552]Yifei Yuan
, Clemencia Siro
, Mohammad Aliannejadi
, Maarten de Rijke
, Wai Lam
:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. WWW 2024: 1474-1485 - [e17]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka:
Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 18, 2024. CEUR Workshop Proceedings 3843, CEUR-WS.org 2024 [contents] - [i235]Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. CoRR abs/2402.07742 (2024) - [i234]Yougang Lyu
, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i233]Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo:
Query Augmentation by Decoding Semantics from Brain Signals. CoRR abs/2402.15708 (2024) - [i232]Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024) - [i231]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024) - [i230]Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke:
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning. CoRR abs/2402.17510 (2024) - [i229]Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
:
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. CoRR abs/2402.17535 (2024) - [i228]Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne:
Measuring Bias in a Ranked List using Term-based Representations. CoRR abs/2403.05975 (2024) - [i227]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i226]Maria Heuss, Maarten de Rijke, Avishek Anand:
RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models. CoRR abs/2403.16085 (2024) - [i225]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. CoRR abs/2403.19056 (2024) - [i224]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024) - [i223]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024) - [i222]Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction using Relevance Judgments Generated by Large Language Models. CoRR abs/2404.01012 (2024) - [i221]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i220]Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke:
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. CoRR abs/2404.02543 (2024) - [i219]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. CoRR abs/2404.09980 (2024) - [i218]Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis:
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. CoRR abs/2404.12190 (2024) - [i217]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. CoRR abs/2404.12994 (2024) - [i216]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024) - [i215]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
:
Large Language Models for Next Point-of-Interest Recommendation. CoRR abs/2404.17591 (2024) - [i214]Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Ranked List Truncation for Large Language Model-based Re-Ranking. CoRR abs/2404.18185 (2024) - [i213]Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke:
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR abs/2404.18640 (2024) - [i212]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
A First Look at Selection Bias in Preference Elicitation for Recommendation. CoRR abs/2405.00554 (2024) - [i211]Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke:
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? CoRR abs/2405.01143 (2024) - [i210]Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke:
QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. CoRR abs/2405.05109 (2024) - [i209]Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke:
Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR abs/2405.05736 (2024) - [i208]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR abs/2405.15114 (2024) - [i207]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. CoRR abs/2406.08891 (2024) - [i206]Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke:
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR abs/2406.19999 (2024) - [i205]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - [i204]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. CoRR abs/2407.11504 (2024) - [i203]Mariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke:
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective. CoRR abs/2407.15239 (2024) - [i202]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. CoRR abs/2407.19943 (2024) - [i201]Mohanna Hoveyda
, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi:
Real World Conversational Entity Linking Requires More Than Zeroshots. CoRR abs/2409.01152 (2024) - [i200]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank. CoRR abs/2409.09881 (2024) - [i199]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. CoRR abs/2409.10527 (2024) - [i198]Mohanna Hoveyda, Arjen P. de Vries, Maarten de Rijke, Harrie Oosterhuis, Faegheh Hasibi:
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit. CoRR abs/2409.13447 (2024) - [i197]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. CoRR abs/2409.14781 (2024) - [i196]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024) - [i195]Yougang Lyu, Xiaoyu Zhang, Zhaochun Ren, Maarten de Rijke:
Cognitive Biases in Large Language Models for News Recommendation. CoRR abs/2410.02897 (2024) - [i194]Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. CoRR abs/2410.03576 (2024) - [i193]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in e-Commerce. CoRR abs/2410.05763 (2024) - [i192]Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. CoRR abs/2410.07672 (2024) - [i191]Amin Abolghasemi, Leif Azzopardi, Seyyed Hadi Hashemi, Maarten de Rijke, Suzan Verberne:
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models. CoRR abs/2410.12380 (2024) - [i190]Clemencia Siro, Yifei Yuan, Mohammad Aliannejadi, Maarten de Rijke:
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs. CoRR abs/2410.19692 (2024) - [i189]Songgaojun Deng, Maarten de Rijke:
Learning Latent Spaces for Domain Generalization in Time Series Forecasting. CoRR abs/2412.11171 (2024) - [i188]Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand:
Correctness is not Faithfulness in RAG Attributions. CoRR abs/2412.18004 (2024) - [i187]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng:
On the Robustness of Generative Information Retrieval Models. CoRR abs/2412.18768 (2024) - [i186]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models. CoRR abs/2412.18770 (2024) - 2023
- [j140]Wenchao Sun
, Muyang Ma, Pengjie Ren
, Yujie Lin
, Zhumin Chen, Zhaochun Ren
, Jun Ma, Maarten de Rijke
:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 35(4): 4106-4123 (2023) - [j139]Yang Fang
, Xiang Zhao
, Yifan Chen, Weidong Xiao, Maarten de Rijke
:
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8372-8385 (2023) - [j138]Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke:
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval. Trans. Mach. Learn. Res. 2023 (2023) - [j137]Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke:
A Simulation Environment and Reinforcement Learning Method for Waste Reduction. Trans. Mach. Learn. Res. 2023 (2023) - [j136]Yanxiang Ling
, Fei Cai, Jun Liu
, Honghui Chen
, Maarten de Rijke
:
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3636-3649 (2023) - [j135]Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen
, Maarten de Rijke
:
Generating Relevant and Informative Questions for Open-Domain Conversations. ACM Trans. Inf. Syst. 41(1): 2:1-2:30 (2023) - [j134]Muyang Ma
, Pengjie Ren
, Zhumin Chen
, Zhaochun Ren
, Huasheng Liang
, Jun Ma
, Maarten de Rijke
:
Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Trans. Inf. Syst. 41(3): 71:1-71:24 (2023) - [j133]Romain Deffayet
, Jean-Michel Renders
, Maarten de Rijke
:
Evaluating the Robustness of Click Models to Policy Distributional Shift. ACM Trans. Inf. Syst. 41(4): 84:1-84:28 (2023) - [j132]Chen Wu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41(4): 89:1-89:27 (2023) - [j131]Ming Li
, Sami Jullien
, Mozhdeh Ariannezhad
, Maarten de Rijke
:
A Next Basket Recommendation Reality Check. ACM Trans. Inf. Syst. 41(4): 116:1-116:29 (2023) - [j130]Ming Li
, Mozhdeh Ariannezhad
, Andrew Yates
, Maarten de Rijke
:
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. Trans. Recomm. Syst. 1(2): 1-32 (2023) - [j129]Gabriel Bénédict
, Daan Odijk
, Maarten de Rijke
:
Intent-Satisfaction Modeling: From Music to Video Streaming. Trans. Recomm. Syst. 1(3): 1-23 (2023) - [c551]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. AAAI 2023: 13353-13361 - [c550]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. AAAI 2023: 13618-13626 - [c549]Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke
:
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. ACL (1) 2023: 6322-6334 - [c548]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. ACL (1) 2023: 7669-7683 - [c547]Shaojie Jiang
, Svitlana Vakulenko
, Maarten de Rijke
:
Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. CHIIR 2023: 258-268 - [c546]Fatemeh Sarvi
, Mohammad Aliannejadi
, Sebastian Schelter
, Maarten de Rijke
:
How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. CHIIR 2023: 346-350 - [c545]Jiangui Chen
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM 2023: 306-315 - [c544]Maria Heuss
, Daniel Cohen
, Masoud Mansoury
, Maarten de Rijke
, Carsten Eickhoff
:
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM 2023: 762-772 - [c543]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656 - [c542]Chuan Meng
, Mohammad Aliannejadi
, Maarten de Rijke
:
System Initiative Prediction for Multi-turn Conversational Information Seeking. CIKM 2023: 1807-1817 - [c541]Zihan Wang
, Kai Zhao
, Yongquan He
, Zhumin Chen
, Pengjie Ren
, Maarten de Rijke
, Zhaochun Ren
:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c540]Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke:
Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. QPP++@ECIR 2023: 25-28 - [c539]Mariya Hendriksen
, Svitlana Vakulenko
, Ernst Kuiper
, Maarten de Rijke
:
Scene-Centric vs. Object-Centric Image-Text Cross-Modal Retrieval: A Reproducibility Study. ECIR (3) 2023: 68-85 - [c538]Thilina Rajapakse
, Maarten de Rijke
:
Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets. ECIR (2) 2023: 94-109 - [c537]Philipp Hager
, Maarten de Rijke
, Onno Zoeter
:
Contrasting Neural Click Models and Pointwise IPS Rankers. ECIR (1) 2023: 409-425 - [c536]Zihan Wang
, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. EMNLP (Findings) 2023: 2228-2240 - [c535]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. EMNLP (Findings) 2023: 6373-6384 - [c534]Clara Rus, Maarten de Rijke, Andrew Yates:
Counterfactual Representations for Intersectional Fair Ranking in Recruitment. HR@RecSys 2023 - [c533]Shashank Gupta
, Harrie Oosterhuis
, Maarten de Rijke
:
A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. ICTIR 2023: 87-93 - [c532]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. NeurIPS 2023 - [c531]Ming Li
, Mozhdeh Ariannezhad
, Andrew Yates
, Maarten de Rijke
:
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. RecSys 2023: 35-46 - [c530]Fatemeh Sarvi
, Ali Vardasbi
, Mohammad Aliannejadi
, Sebastian Schelter
, Maarten de Rijke
:
On the Impact of Outlier Bias on User Clicks. SIGIR 2023: 18-27 - [c529]Shashank Gupta
, Harrie Oosterhuis
, Maarten de Rijke
:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. SIGIR 2023: 249-258 - [c528]Romain Deffayet
, Philipp Hager
, Jean-Michel Renders
, Maarten de Rijke
:
An Offline Metric for the Debiasedness of Click Models. SIGIR 2023: 558-568 - [c527]Dan Li
, Maarten de Rijke
:
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. SIGIR 2023: 729-738 - [c526]Xin Xin
, Xiangyuan Liu
, Hanbing Wang
, Pengjie Ren
, Zhumin Chen
, Jiahuan Lei
, Xinlei Shi
, Hengliang Luo
, Joemon M. Jose
, Maarten de Rijke
, Zhaochun Ren
:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR 2023: 932-941 - [c525]Jiangui Chen
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yiqun Liu
, Yixing Fan
, Xueqi Cheng
:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. SIGIR 2023: 1448-1457 - [c524]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2023: 1700-1709 - [c523]Sebastian Schelter
, Mozhdeh Ariannezhad
, Maarten de Rijke
:
Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. SIGIR 2023: 2011-2015 - [c522]Ming Li
, Ali Vardasbi
, Andrew Yates
, Maarten de Rijke
:
Repetition and Exploration in Sequential Recommendation. SIGIR 2023: 2532-2541 - [c521]Chuan Meng
, Negar Arabzadeh
, Mohammad Aliannejadi
, Maarten de Rijke
:
Query Performance Prediction: From Ad-hoc to Conversational Search. SIGIR 2023: 2583-2593 - [c520]Mozhdeh Ariannezhad
, Ming Li
, Sami Jullien
, Maarten de Rijke
:
Complex Item Set Recommendation. SIGIR 2023: 3444-3447 - [c519]Surya Kallumadi
, Yubin Kim
, Tracy Holloway King
, Shervin Malmasi
, Maarten de Rijke
, Jacopo Tagliabue
:
eCom'23: The SIGIR 2023 Workshop on eCommerce. SIGIR 2023: 3476-3478 - [c518]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. SIGIR-AP 2023: 294-297 - [c517]Maarten de Rijke
:
Beyond-Accuracy Goals, Again. WSDM 2023: 2-3 - [c516]Mozhdeh Ariannezhad
, Ming Li
, Sebastian Schelter
, Maarten de Rijke
:
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. WSDM 2023: 87-95 - [c515]Romain Deffayet
, Thibaut Thonet
, Jean-Michel Renders
, Maarten de Rijke
:
Generative Slate Recommendation with Reinforcement Learning. WSDM 2023: 580-588 - [c514]Yujie Lin
, Chenyang Wang
, Zhumin Chen
, Zhaochun Ren
, Xin Xin
, Qiang Yan
, Maarten de Rijke
, Xiuzhen Cheng
, Pengjie Ren
:
A Self-Correcting Sequential Recommender. WWW 2023: 1283-1293 - [e16]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, July 27, 2023. CEUR Workshop Proceedings 3589, CEUR-WS.org 2023 [contents] - [i185]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. CoRR abs/2301.00993 (2023) - [i184]Yujie Lin, Zhumin Chen, Zhaochun Ren, Chenyang Wang, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
Modeling Sequential Recommendation as Missing Information Imputation. CoRR abs/2301.01762 (2023) - [i183]Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper, Maarten de Rijke:
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study. CoRR abs/2301.05174 (2023) - [i182]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Generative Slate Recommendation with Reinforcement Learning. CoRR abs/2301.08632 (2023) - [i181]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. CoRR abs/2303.02297 (2023) - [i180]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu
, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. CoRR abs/2304.04171 (2023) - [i179]Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke:
An Offline Metric for the Debiasedness of Click Models. CoRR abs/2304.09560 (2023) - [i178]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. CoRR abs/2304.14856 (2023) - [i177]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023) - [i176]Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
On the Impact of Outlier Bias on User Clicks. CoRR abs/2305.00857 (2023) - [i175]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. CoRR abs/2305.01522 (2023) - [i174]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR abs/2305.05585 (2023) - [i173]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i172]Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction: From Ad-hoc to Conversational Search. CoRR abs/2305.10923 (2023) - [i171]Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke:
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. CoRR abs/2305.12820 (2023) - [i170]Sami Jullien, Romain Deffayet, Jean-Michel Renders, Paul Groth, Maarten de Rijke:
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression. CoRR abs/2305.16877 (2023) - [i169]Gabriel Bénédict, Olivier Jeunen, Samuele Papa
, Samarth Bhargav
, Daan Odijk, Maarten de Rijke
:
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. CoRR abs/2306.08947 (2023) - [i168]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. CoRR abs/2307.03897 (2023) - [i167]Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke:
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. CoRR abs/2308.01308 (2023) - [i166]Ali Vardasbi, Maarten de Rijke, Fernando Diaz
, Mostafa Dehghani:
Group Membership Bias. CoRR abs/2308.02887 (2023) - [i165]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CoRR abs/2308.09861 (2023) - [i164]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CoRR abs/2308.14968 (2023) - [i163]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR abs/2309.09833 (2023) - [i162]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. CoRR abs/2310.09846 (2023) - [i161]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. CoRR abs/2310.11675 (2023) - [i160]Olivier Sprangers, Wander Wadman, Sebastian Schelter, Maarten de Rijke:
Hierarchical Forecasting at Scale. CoRR abs/2310.12809 (2023) - [i159]Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren:
Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR abs/2311.02446 (2023) - [i158]Romain Deffayet, Thibaut Thonet, Dongyoon Hwang, Vassilissa Lehoux, Jean-Michel Renders, Maarten de Rijke:
SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments. CoRR abs/2311.16586 (2023) - [i157]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR abs/2312.10329 (2023) - 2022
- [j128]Yifan Chen, Yang Wang
, Pengjie Ren, Meng Wang, Maarten de Rijke
:
Bayesian feature interaction selection for factorization machines. Artif. Intell. 302: 103589 (2022) - [j127]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke
:
Offline Evaluation for Reinforcement Learning-Based Recommendation: A Critical Issue and Some Alternatives. SIGIR Forum 56(2): 3:1-3:14 (2022) - [j126]Muyang Ma
, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. ACM Trans. Knowl. Discov. Data 16(4): 64:1-64:32 (2022) - [j125]Gabriel Bénédict, Hendrik Vincent Koops, Daan Odijk, Maarten de Rijke:
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. Trans. Mach. Learn. Res. 2022 (2022) - [j124]Wanyu Chen
, Pengjie Ren
, Fei Cai, Fei Sun, Maarten de Rijke
:
Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Trans. Inf. Syst. 40(1): 20:1-20:30 (2022) - [j123]Jinyuan Fang
, Shangsong Liang
, Zaiqiao Meng
, Maarten de Rijke
:
Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. 40(3): 58:1-58:36 (2022) - [j122]Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
:
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. ACM Trans. Inf. Syst. 40(4): 64:1-64:27 (2022) - [c513]Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. AAAI 2022: 5313-5322 - [c512]Ana Lucic
, Maurits J. R. Bleeker, Sami Jullien
, Samarth Bhargav
, Maarten de Rijke
:
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. AAAI 2022: 12792-12800 - [c511]Yangjun Zhang, Pengjie Ren, Wentao Deng, Zhumin Chen, Maarten de Rijke
:
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. ACL (1) 2022: 3543-3555 - [c510]Vaishali Pal, Evangelos Kanoulas
, Maarten de Rijke
:
Parameter-Efficient Abstractive Question Answering over Tables or Text. DialDoc@ACL 2022: 41-53 - [c509]Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. AISTATS 2022: 4499-4511 - [c508]Ali Vardasbi, Maarten de Rijke
, Mostafa Dehghani:
Intersection of Parallels as an Early Stopping Criterion. CIKM 2022: 1965-1974 - [c507]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke
, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CIKM 2022: 2128-2137 - [c506]Mariya Hendriksen, Maurits J. R. Bleeker, Svitlana Vakulenko, Nanne van Noord
, Ernst Kuiper, Maarten de Rijke
:
Extending CLIP for Category-to-Image Retrieval in E-Commerce. ECIR (1) 2022: 289-303 - [c505]Maurits J. R. Bleeker, Maarten de Rijke
:
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? ECIR (1) 2022: 535-551 - [c504]Zihan Wang
, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c503]Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke:
What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research. NAACL-HLT 2022: 46-75 - [c502]Sanne Vrijenhoek
, Gabriel Bénédict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke
:
RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. RecSys 2022: 208-219 - [c501]Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin
, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. SIGIR 2022: 165-175 - [c500]Ali Vardasbi
, Fatemeh Sarvi, Maarten de Rijke:
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. SIGIR 2022: 715-725 - [c499]Maria Heuss, Fatemeh Sarvi, Maarten de Rijke
:
Fairness of Exposure in Light of Incomplete Exposure Estimation. SIGIR 2022: 759-769 - [c498]Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. SIGIR 2022: 1066-1076 - [c497]Mozhdeh Ariannezhad
, Sami Jullien
, Ming Li
, Min Fang, Sebastian Schelter
, Maarten de Rijke
:
ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. SIGIR 2022: 1240-1250 - [c496]Clemencia Siro, Mohammad Aliannejadi
, Maarten de Rijke
:
Understanding User Satisfaction with Task-oriented Dialogue Systems. SIGIR 2022: 2018-2023 - [c495]Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke
:
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. SIGIR 2022: 2738-2748 - [c494]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin
, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. SIGIR 2022: 3013-3024 - [c493]Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic:
Towards Reproducible Machine Learning Research in Information Retrieval. SIGIR 2022: 3459-3461 - [c492]Ajinkya Kale, Surya Kallumadi, Tracy Holloway King
, Shervin Malmasi, Maarten de Rijke
, Jacopo Tagliabue:
eCom'22: The SIGIR 2022 Workshop on eCommerce. SIGIR 2022: 3485-3487 - [c491]Jin Huang, Harrie Oosterhuis, Maarten de Rijke
:
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. WSDM 2022: 381-389 - [c490]Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi
, Sebastian Schelter
, Maarten de Rijke
:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. WSDM 2022: 861-869 - [c489]Mozhdeh Ariannezhad
, Mohamed Yahya, Edgar Meij, Sebastian Schelter
, Maarten de Rijke
:
Understanding Financial Information Seeking Behavior from User Interactions with Company Filings. WWW (Companion Volume) 2022: 586-594 - [i156]Maurits J. R. Bleeker, Maarten de Rijke:
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? CoRR abs/2202.07474 (2022) - [i155]Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. CoRR abs/2204.01321 (2022) - [i154]Vaishali Pal, Evangelos Kanoulas
, Maarten de Rijke:
Parameter-Efficient Abstractive Question Answering over Tables or Text. CoRR abs/2204.03357 (2022) - [i153]Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke
:
Summarization with Graphical Elements. CoRR abs/2204.07551 (2022) - [i152]Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Understanding User Satisfaction with Task-oriented Dialogue Systems. CoRR abs/2204.12195 (2022) - [i151]Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke:
Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval. CoRR abs/2204.13382 (2022) - [i150]Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke:
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. CoRR abs/2204.13765 (2022) - [i149]Shaojie Jiang, Ruqing Zhang, Svitlana Vakulenko, Maarten de Rijke:
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration. CoRR abs/2205.02517 (2022) - [i148]Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke:
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. CoRR abs/2205.04797 (2022) - [i147]Maria Heuss, Fatemeh Sarvi, Maarten de Rijke:
Fairness of Exposure in Light of Incomplete Exposure Estimation. CoRR abs/2205.12901 (2022) - [i146]Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke:
GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction. CoRR abs/2205.15455 (2022) - [i145]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i144]Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski:
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR abs/2207.02726 (2022) - [i143]Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani:
Intersection of Parallels as an Early Stopping Criterion. CoRR abs/2208.09529 (2022) - [i142]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CoRR abs/2209.06691 (2022) - [i141]Sanne Vrijenhoek, Gabriel Bénédict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke:
RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. CoRR abs/2209.13520 (2022) - [i140]Yougang Lyu
, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. CoRR abs/2212.05421 (2022) - [i139]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. CoRR abs/2212.10400 (2022) - 2021
- [j121]Chongming Gao
, Wenqiang Lei, Xiangnan He, Maarten de Rijke
, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. AI Open 2: 100-126 (2021) - [j120]Yangjun Zhang, Pengjie Ren, Maarten de Rijke
:
A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses. J. Assoc. Inf. Sci. Technol. 72(12): 1477-1497 (2021) - [j119]Pengjie Ren, Zhumin Chen, Zhaochun Ren
, Evangelos Kanoulas
, Christof Monz, Maarten de Rijke
:
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39(4): 47:1-47:29 (2021) - [j118]Svitlana Vakulenko, Evangelos Kanoulas
, Maarten de Rijke
:
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. ACM Trans. Inf. Syst. 39(4): 49:1-49:32 (2021) - [c488]Yangjun Zhang, Pengjie Ren, Maarten de Rijke
:
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. ACL/IJCNLP (1) 2021: 5612-5623 - [c487]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke
, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c486]Ali Vardasbi
, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CIKM 2021: 1869-1878 - [c485]Mozhdeh Ariannezhad
, Sami Jullien
, Pim Nauts, Min Fang, Sebastian Schelter
, Maarten de Rijke
:
Understanding Multi-channel Customer Behavior in Retail. CIKM 2021: 2867-2871 - [c484]Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke
:
News Article Retrieval in Context for Event-centric Narrative Creation. ICTIR 2021: 103-112 - [c483]Harrie Oosterhuis, Maarten de Rijke:
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract). IJCAI 2021: 4809-4813 - [c482]Olivier Sprangers, Sebastian Schelter
, Maarten de Rijke
:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. KDD 2021: 1510-1520 - [c481]Wenqiang Lei, Chongming Gao, Maarten de Rijke:
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. RecSys 2021: 842-844 - [c480]Chuan Meng
, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke
:
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. SIGIR 2021: 522-532 - [c479]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke
:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. SIGIR 2021: 533-543 - [c478]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke
:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. SIGIR 2021: 544-554 - [c477]Zihan Wang
, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke
:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. SIGIR 2021: 1003-1012 - [c476]Weiwei Sun, Chuan Meng
, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
:
Conversations Powered by Cross-Lingual Knowledge. SIGIR 2021: 1442-1451 - [c475]Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke
, Yiqun Liu, Shaoping Ma:
Standing in Your Shoes: External Assessments for Personalized Recommender Systems. SIGIR 2021: 1523-1533 - [c474]Xiangsheng Li, Maarten de Rijke
, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma:
Investigating Session Search Behavior with Knowledge Graphs. SIGIR 2021: 1708-1712 - [c473]Ziming Li, Julia Kiseleva, Maarten de Rijke
:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. SIGIR 2021: 1940-1944 - [c472]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke
:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. SIGIR 2021: 2499-2506 - [c471]Surya Kallumadi, Tracy Holloway King
, Shervin Malmasi, Maarten de Rijke
:
ECOM'21: The SIGIR 2021 Workshop on eCommerce. SIGIR 2021: 2685-2688 - [c470]Judith Masthoff, Eelco Herder, Helen Nissenbaum, Maarten de Rijke, Julita Vassileva:
ACM UMAP 2021 Keynote Addresses. UMAP 2021: 1-2 - [c469]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke
:
Abstractive Opinion Tagging. WSDM 2021: 337-345 - [c468]Harrie Oosterhuis, Maarten de Rijke
:
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. WSDM 2021: 463-471 - [c467]Harrie Oosterhuis, Maarten de Rijke
:
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. WWW 2021: 158-170 - [c466]Qiannan Cheng
, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu
, Maarten de Rijke
:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. WWW 2021: 239-248 - [c465]Jiahuan Pei, Pengjie Ren, Maarten de Rijke
:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. WWW 2021: 1552-1561 - [i138]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. CoRR abs/2101.06880 (2021) - [i137]Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR abs/2101.09459 (2021) - [i136]Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. CoRR abs/2102.03322 (2021) - [i135]Harrie Oosterhuis, Maarten de Rijke:
Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank. CoRR abs/2102.05990 (2021) - [i134]Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. CoRR abs/2102.08322 (2021) - [i133]Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q. Vera Liao, Maarten de Rijke:
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. CoRR abs/2103.14976 (2021) - [i132]Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. CoRR abs/2104.07096 (2021) - [i131]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. CoRR abs/2105.00079 (2021) - [i130]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. CoRR abs/2105.03748 (2021) - [i129]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. CoRR abs/2105.06071 (2021) - [i128]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. CoRR abs/2105.06083 (2021) - [i127]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. CoRR abs/2105.08301 (2021) - [i126]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. CoRR abs/2106.01682 (2021) - [i125]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. CoRR abs/2106.12120 (2021) - [i124]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke:
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. CoRR abs/2106.15467 (2021) - [i123]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i122]Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke:
News Article Retrieval in Context for Event-centric Narrative Creation. CoRR abs/2106.16053 (2021) - [i121]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CoRR abs/2108.08538 (2021) - [i120]Gabriel Bénédict, Vincent Koops, Daan Odijk, Maarten de Rijke:
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. CoRR abs/2108.10566 (2021) - [i119]Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke:
A Next Basket Recommendation Reality Check. CoRR abs/2109.14233 (2021) - [i118]Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. CoRR abs/2111.00826 (2021) - [i117]Jin Huang, Harrie Oosterhuis, Maarten de Rijke:
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. CoRR abs/2111.12481 (2021) - [i116]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Parameter Efficient Deep Probabilistic Forecasting. CoRR abs/2112.02905 (2021) - [i115]Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. CoRR abs/2112.11251 (2021) - [i114]Mariya Hendriksen, Maurits J. R. Bleeker, Svitlana Vakulenko, Nanne van Noord, Ernst Kuiper, Maarten de Rijke:
Extending CLIP for Category-to-image Retrieval in E-commerce. CoRR abs/2112.11294 (2021) - 2020
- [j117]Zeynep Akata, Dan Balliet, Maarten de Rijke
, Frank Dignum, Virginia Dignum
, Guszti Eiben, Antske Fokkens
, Davide Grossi
, Koen V. Hindriks
, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek
, Henry Prakken, Stefan Schlobach
, Linda C. van der Gaag, Frank van Harmelen
, Herke van Hoof, Birna van Riemsdijk
, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij
, Piek Vossen
, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j116]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
:
Personalized query suggestion diversification in information retrieval. Frontiers Comput. Sci. 14(3): 143602 (2020) - [j115]Ridho Reinanda, Edgar Meij, Maarten de Rijke
:
Knowledge Graphs: An Information Retrieval Perspective. Found. Trends Inf. Retr. 14(4): 289-444 (2020) - [j114]Chuan Wu, Evangelos Kanoulas
, Maarten de Rijke
:
Learning entity-centric document representations using an entity facet topic model. Inf. Process. Manag. 57(3): 102216 (2020) - [j113]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
:
Hierarchical neural query suggestion with an attention mechanism. Inf. Process. Manag. 57(6): 102040 (2020) - [j112]Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke
:
Pre-train, Interact, Fine-tune: a novel interaction representation for text classification. Inf. Process. Manag. 57(6): 102215 (2020) - [j111]Chuan Wu
, Evangelos Kanoulas
, Maarten de Rijke
:
It all starts with entities: A Salient entity topic model. Nat. Lang. Eng. 26(5): 531-549 (2020) - [j110]Manos Tsagkias, Tracy Holloway King
, Surya Kallumadi, Vanessa Murdock, Maarten de Rijke
:
Challenges and research opportunities in eCommerce search and recommendations. SIGIR Forum 54(1): 2:1-2:23 (2020) - [j109]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j108]Yujie Lin
, Pengjie Ren, Zhumin Chen, Zhaochun Ren
, Jun Ma, Maarten de Rijke
:
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. IEEE Trans. Knowl. Data Eng. 32(8): 1502-1516 (2020) - [j107]Yi-Fan Chen, Yang Wang
, Xiang Zhao, Hongzhi Yin
, Ilya Markov, Maarten de Rijke
:
Local Variational Feature-Based Similarity Models for Recommending Top-N New Items. ACM Trans. Inf. Syst. 38(2): 12:1-12:33 (2020) - [j106]Rolf Jagerman
, Ilya Markov, Maarten de Rijke
:
Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. 38(3): 24:1-24:23 (2020) - [j105]Chang Li
, Ilya Markov, Maarten de Rijke
, Masrour Zoghi:
MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation. ACM Trans. Inf. Syst. 38(4): 40:1-40:28 (2020) - [j104]Yifan Chen
, Yang Wang
, Xiang Zhao
, Jie Zou
, Maarten de Rijke
:
Block-Aware Item Similarity Models for Top-N Recommendation. ACM Trans. Inf. Syst. 38(4): 42:1-42:26 (2020) - [c464]Chuan Meng
, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
:
RefNet: A Reference-Aware Network for Background Based Conversation. AAAI 2020: 8496-8503 - [c463]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. AAAI 2020: 8697-8704 - [c462]Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney
, Maarten de Rijke
, Ryen W. White:
Conversations with Documents: An Exploration of Document-Centered Assistance. CHIIR 2020: 43-52 - [c461]Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke
:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020: 175-184 - [c460]Xiangsheng Li, Maarten de Rijke
, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma:
Learning Better Representations for Neural Information Retrieval with Graph Information. CIKM 2020: 795-804 - [c459]Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke
:
Star Graph Neural Networks for Session-based Recommendation. CIKM 2020: 1195-1204 - [c458]Ali Vardasbi
, Harrie Oosterhuis, Maarten de Rijke
:
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. CIKM 2020: 1475-1484 - [c457]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke
:
Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. ECAI 2020: 2148-2155 - [c456]Maurits J. R. Bleeker, Maarten de Rijke
:
Bidirectional Scene Text Recognition with a Single Decoder. ECAI 2020: 2664-2671 - [c455]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke
, Shahin Shayandeh, Jianfeng Gao:
Guided Dialogue Policy Learning without Adversarial Learning in the Loop. EMNLP (Findings) 2020: 2308-2317 - [c454]Ziming Li, Julia Kiseleva, Maarten de Rijke
:
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. EMNLP (Findings) 2020: 3537-3546 - [c453]Ana Lucic
, Hinda Haned, Maarten de Rijke
:
Why does my model fail?: contrastive local explanations for retail forecasting. FAT* 2020: 90-98 - [c452]Harrie Oosterhuis, Maarten de Rijke
:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. ICTIR 2020: 137-144 - [c451]Chuan Wu, Evangelos Kanoulas
, Maarten de Rijke, Wei Lu:
WN-Salience: A Corpus of News Articles with Entity Salience Annotations. LREC 2020: 2095-2102 - [c450]Mozhdeh Ariannezhad
, Sebastian Schelter
, Maarten de Rijke
:
Demand Forecasting in the Presence of Privileged Information. AALTD@PKDD/ECML 2020: 46-62 - [c449]Chang Li, Haoyun Feng, Maarten de Rijke
:
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. RecSys 2020: 33-42 - [c448]Jin Huang, Harrie Oosterhuis, Maarten de Rijke
, Herke van Hoof:
Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. RecSys 2020: 190-199 - [c447]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
, Haitian Chen, Min Zhang, Shaoping Ma:
Preference-based Evaluation Metrics for Web Image Search. SIGIR 2020: 369-378 - [c446]Rolf Jagerman
, Maarten de Rijke
:
Accelerated Convergence for Counterfactual Learning to Rank. SIGIR 2020: 469-478 - [c445]Harrie Oosterhuis, Maarten de Rijke
:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. SIGIR 2020: 489-498 - [c444]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie
, Jun Ma, Maarten de Rijke
:
Coding Electronic Health Records with Adversarial Reinforcement Path Generation. SIGIR 2020: 801-810 - [c443]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas
, Maarten de Rijke
:
Query Resolution for Conversational Search with Limited Supervision. SIGIR 2020: 921-930 - [c442]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke
, Xiuzhen Cheng:
Meta Matrix Factorization for Federated Rating Predictions. SIGIR 2020: 981-990 - [c441]Chuan Meng
, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke
:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. SIGIR 2020: 1151-1160 - [c440]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
:
An Intent-guided Collaborative Machine for Session-based Recommendation. SIGIR 2020: 1833-1836 - [c439]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
:
Rethinking Item Importance in Session-based Recommendation. SIGIR 2020: 1837-1840 - [c438]Svitlana Vakulenko, Evangelos Kanoulas
, Maarten de Rijke
:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. SIGIR 2020: 2085-2088 - [c437]Ali Vardasbi
, Maarten de Rijke
, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. SIGIR 2020: 2089-2092 - [c436]Wenqiang Lei, Xiangnan He, Maarten de Rijke
, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428 - [c435]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
:
Modeling User Behavior for Vertical Search: Images, Apps and Products. SIGIR 2020: 2440-2443 - [c434]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
:
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [c433]Harrie Oosterhuis, Rolf Jagerman
, Maarten de Rijke
:
Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) 2020: 299-300 - [c432]Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke
:
Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. WWW 2020: 2486-2492 - [i113]Rolf Jagerman, Ilya Markov, Maarten de Rijke:
Safe Exploration for Optimizing Contextual Bandits. CoRR abs/2002.00467 (2020) - [i112]Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White:
Conversations with Documents. An Exploration of Document-Centered Assistance. CoRR abs/2002.00747 (2020) - [i111]Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke:
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. CoRR abs/2003.11963 (2020) - [i110]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. CoRR abs/2004.14162 (2020) - [i109]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. CoRR abs/2005.04456 (2020) - [i108]Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. CoRR abs/2005.09035 (2020) - [i107]Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. CoRR abs/2005.10615 (2020) - [i106]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. CoRR abs/2005.11723 (2020) - [i105]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. CoRR abs/2005.11938 (2020) - [i104]Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. CoRR abs/2005.12340 (2020) - [i103]Ziming Li, Julia Kiseleva, Alekh Agarwal, Maarten de Rijke, Ryen W. White:
Optimizing Interactive Systems via Data-Driven Objectives. CoRR abs/2006.12999 (2020) - [i102]Fatemeh Sarvi, Nikos Voskarides, Lois Mooiman, Sebastian Schelter, Maarten de Rijke:
A Comparison of Supervised Learning to Match Methods for Product Search. CoRR abs/2007.10296 (2020) - [i101]Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. CoRR abs/2007.12719 (2020) - [i100]Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, Maarten de Rijke:
Attribute-aware Diversification for Sequential Recommendations. CoRR abs/2008.00783 (2020) - [i99]Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR abs/2008.03391 (2020) - [i98]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. CoRR abs/2008.09706 (2020) - [i97]Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke:
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. CoRR abs/2008.10242 (2020) - [i96]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. CoRR abs/2009.09781 (2020) - [i95]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. CoRR abs/2012.00485 (2020) - [i94]Svitlana Vakulenko, Vadim Savenkov, Maarten de Rijke:
Conversational Browsing. CoRR abs/2012.03704 (2020) - [i93]Harrie Oosterhuis, Maarten de Rijke:
Unifying Online and Counterfactual Learning to Rank. CoRR abs/2012.04426 (2020) - [i92]Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke:
What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization. CoRR abs/2012.07619 (2020) - [i91]Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter, Maarten de Rijke:
Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers. CoRR abs/2012.08777 (2020)
2010 – 2019
- 2019
- [j103]Xinyi Li, Maarten de Rijke
:
Characterizing and predicting downloads in academic search. Inf. Process. Manag. 56(3): 394-407 (2019) - [j102]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani
, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [j101]Bingbing Jiang
, Chang Li, Maarten de Rijke
, Xin Yao, Huanhuan Chen
:
Probabilistic Feature Selection and Classification Vector Machine. ACM Trans. Knowl. Discov. Data 13(2): 21:1-21:27 (2019) - [j100]Hosein Azarbonyad
, Mostafa Dehghani, Tom Kenter, Maarten Marx
, Jaap Kamps
, Maarten de Rijke
:
HiTR: Hierarchical Topic Model Re-Estimation for Measuring Topical Diversity of Documents. IEEE Trans. Knowl. Data Eng. 31(11): 2124-2137 (2019) - [j99]Xinyi Li, Yifan Chen, Benjamin Pettit, Maarten de Rijke
:
Personalised Reranking of Paper Recommendations Using Paper Content and User Behavior. ACM Trans. Inf. Syst. 37(3): 31:1-31:23 (2019) - [j98]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
:
Joint Neural Collaborative Filtering for Recommender Systems. ACM Trans. Inf. Syst. 37(4): 39:1-39:30 (2019) - [j97]Maarten de Rijke:
Reviewers for ACM Transactions on Information Systems Volume 37. ACM Trans. Inf. Syst. 37(4): 49:1-49:6 (2019) - [c431]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke
:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. AAAI 2019: 4806-4813 - [c430]Ziming Li, Julia Kiseleva, Maarten de Rijke
:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. AAAI 2019: 6722-6729 - [c429]Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. BNAIC/BENELEARN 2019 - [c428]Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke
, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. CIKM 2019: 1431-1440 - [c427]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
:
A Dynamic Co-attention Network for Session-based Recommendation. CIKM 2019: 1461-1470 - [c426]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke
:
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. CIKM 2019: 1623-1632 - [c425]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
, Qingyao Ai
, Yufei Huang
, Min Zhang, Shaoping Ma:
Improving Web Image Search with Contextual Information. CIKM 2019: 1683-1692 - [c424]Harrie Oosterhuis, Maarten de Rijke
:
Optimizing Ranking Models in an Online Setting. ECIR (1) 2019: 382-396 - [c423]Svitlana Vakulenko, Kate Revoredo
, Claudio Di Ciccio
, Maarten de Rijke
:
QRFA: A Data-Driven Model of Information-Seeking Dialogues. ECIR (1) 2019: 541-557 - [c422]Chang Li, Maarten de Rijke
:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. IJCAI 2019: 2859-2865 - [c421]Rolf Jagerman
, Harrie Oosterhuis, Maarten de Rijke
:
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. SIGIR 2019: 15-24 - [c420]Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, Maarten de Rijke
:
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. SIGIR 2019: 345-354 - [c419]Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke
:
Bayesian Personalized Feature Interaction Selection for Factorization Machines. SIGIR 2019: 665-674 - [c418]Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, Maarten de Rijke
:
π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. SIGIR 2019: 685-694 - [c417]Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke
:
Length-adaptive Neural Network for Answer Selection. SIGIR 2019: 869-872 - [c416]Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
:
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. SIGIR 2019: 913-916 - [c415]Claudio Lucchese, Franco Maria Nardini
, Rama Kumar Pasumarthi, Sebastian Bruch
, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman
, Maarten de Rijke
:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR 2019: 1419-1420 - [c414]Alexandra Olteanu, Jean Garcia-Gathright
, Maarten de Rijke
, Michael D. Ekstrand:
Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR). SIGIR 2019: 1423-1425 - [c413]Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UAI 2019: 196-206 - [c412]Maarten de Rijke
:
Reinforcement Learning to Rank. WSDM 2019: 5 - [c411]Rolf Jagerman
, Ilya Markov, Maarten de Rijke
:
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM 2019: 447-455 - [c410]Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke
:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. WSDM 2019: 681-689 - [c409]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke
:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. WWW 2019: 1095-1105 - [c408]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
, Yunqiu Shao, Zixin Ye, Min Zhang, Shaoping Ma:
Grid-based Evaluation Metrics for Web Image Search. WWW 2019: 2103-2114 - [c407]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke
:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW 2019: 2879-2885 - [c406]Bram van den Akker, Ilya Markov, Maarten de Rijke
:
ViTOR: Learning to Rank Webpages Based on Visual Features. WWW 2019: 3279-3285 - [e15]Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu:
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, eCOM@SIGIR 2017, Tokyo, Japan, August 11, 2017. CEUR Workshop Proceedings 2311, CEUR-WS.org 2019 [contents] - [i90]Harrie Oosterhuis, Maarten de Rijke:
Optimizing Ranking Models in an Online Setting. CoRR abs/1901.10262 (2019) - [i89]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. CoRR abs/1902.09191 (2019) - [i88]Bram van den Akker, Ilya Markov, Maarten de Rijke:
ViTOR: Learning to Rank Webpages Based on Visual Features. CoRR abs/1903.02939 (2019) - [i87]Chang Li, Maarten de Rijke:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. CoRR abs/1905.12370 (2019) - [i86]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Improving Background Based Conversation with Context-aware Knowledge Pre-selection. CoRR abs/1906.06685 (2019) - [i85]Jiahuan Pei, Arent Stienstra, Julia Kiseleva, Maarten de Rijke:
SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection. CoRR abs/1906.06788 (2019) - [i84]Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke:
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? CoRR abs/1907.00570 (2019) - [i83]Ana Lucic, Hinda Haned, Maarten de Rijke:
Explaining Predictions from Tree-based Boosting Ensembles. CoRR abs/1907.02582 (2019) - [i82]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Joint Neural Collaborative Filtering for Recommender Systems. CoRR abs/1907.03459 (2019) - [i81]Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. CoRR abs/1907.05346 (2019) - [i80]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand:
Proceedings of FACTS-IR 2019. CoRR abs/1907.05755 (2019) - [i79]Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke:
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. CoRR abs/1907.06412 (2019) - [i78]Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Unbiased Learning to Rank: Counterfactual and Online Approaches. CoRR abs/1907.07260 (2019) - [i77]Ana Lucic, Hinda Haned, Maarten de Rijke:
Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. CoRR abs/1908.00085 (2019) - [i76]Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-aware Network for Background Based Conversation. CoRR abs/1908.06449 (2019) - [i75]Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez:
Message Passing for Complex Question Answering over Knowledge Graphs. CoRR abs/1908.06917 (2019) - [i74]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. CoRR abs/1908.09104 (2019) - [i73]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. CoRR abs/1908.09528 (2019) - [i72]Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CoRR abs/1908.10171 (2019) - [i71]Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke:
Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. CoRR abs/1909.11824 (2019) - [i70]Pengjie Ren, Yujie Lin, Muyang Ma, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. CoRR abs/1910.02448 (2019) - [i69]Anna Sepliarskaia, Julia Kiseleva, Maarten de Rijke:
Evaluating Disentangled Representations. CoRR abs/1910.05587 (2019) - [i68]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. CoRR abs/1910.10086 (2019) - [i67]Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke:
Understanding Multi-Head Attention in Abstractive Summarization. CoRR abs/1911.03898 (2019) - [i66]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. CoRR abs/1911.08151 (2019) - [i65]Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. CoRR abs/1911.12199 (2019) - [i64]Chang Li, Haoyun Feng, Maarten de Rijke:
A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity. CoRR abs/1912.00508 (2019) - [i63]Maurits J. R. Bleeker, Maarten de Rijke:
Bidirectional Scene Text Recognition with a Single Decoder. CoRR abs/1912.03656 (2019) - 2018
- [j96]Nick Craswell, W. Bruce Croft, Maarten de Rijke
, Jiafeng Guo, Bhaskar Mitra
:
Neural information retrieval: introduction to the special issue. Inf. Retr. J. 21(2-3): 107-110 (2018) - [j95]Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde
, Md. Mustafizur Rahman, Pinar Karagoz
, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke
, Matthew Lease:
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21(2-3): 111-182 (2018) - [j94]Gaurav Pandey
, Zhaochun Ren
, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke
:
Linear feature extraction for ranking. Inf. Retr. J. 21(6): 481-506 (2018) - [j93]David Graus
, Daan Odijk, Maarten de Rijke
:
The birth of collective memories: Analyzing emerging entities in text streams. J. Assoc. Inf. Sci. Technol. 69(6): 773-786 (2018) - [j92]Rolf Jagerman
, Krisztian Balog, Maarten de Rijke
:
OpenSearch: Lessons Learned from an Online Evaluation Campaign. ACM J. Data Inf. Qual. 10(3): 13:1-13:15 (2018) - [j91]Chang Li
, Maarten de Rijke
:
Incremental sparse Bayesian ordinal regression. Neural Networks 106: 294-302 (2018) - [j90]Ilya Markov, Maarten de Rijke
:
What Should We Teach in Information Retrieval? SIGIR Forum 52(2): 19-39 (2018) - [j89]Laura Koesten, Philipp Mayr, Paul Groth, Elena Simperl, Maarten de Rijke:
Report on the DATA: SEARCH'18 workshop - Searching Data on the Web. SIGIR Forum 52(2): 117-124 (2018) - [j88]Christophe Van Gysel
, Maarten de Rijke
, Evangelos Kanoulas
:
Neural Vector Spaces for Unsupervised Information Retrieval. ACM Trans. Inf. Syst. 36(4): 38:1-38:25 (2018) - [j87]Pengjie Ren, Zhumin Chen, Zhaochun Ren
, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke
:
Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018) - [c405]Harrie Oosterhuis, J. Shane Culpepper
, Maarten de Rijke
:
The Potential of Learned Index Structures for Index Compression. ADCS 2018: 7:1-7:4 - [c404]Maarten de Rijke:
Shifting Information Interactions. CIKM 2018: 3 - [c403]Harrie Oosterhuis, Maarten de Rijke
:
Differentiable Unbiased Online Learning to Rank. CIKM 2018: 1293-1302 - [c402]Christophe Van Gysel, Maarten de Rijke
, Evangelos Kanoulas
:
Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search. CIKM 2018: 1373-1382 - [c401]Chong Feng, Fei Cai, Honghui Chen, Maarten de Rijke
:
Attentive Encoder-based Extractive Text Summarization. CIKM 2018: 1499-1502 - [c400]Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke
:
Calibration: A Simple Way to Improve Click Models. CIKM 2018: 1503-1506 - [c399]Boris Sharchilev, Michael Roizner, Andrey Yu. Rumyantsev, Denis Ozornin, Pavel Serdyukov, Maarten de Rijke
:
Web-based Startup Success Prediction. CIKM 2018: 2283-2291 - [c398]Shaojie Jiang, Maarten de Rijke
:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. SCAI@EMNLP 2018: 81-86 - [c397]Thorsten Joachims, Adith Swaminathan, Maarten de Rijke:
Deep Learning with Logged Bandit Feedback. ICLR (Poster) 2018 - [c396]Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten de Rijke:
Finding Influential Training Samples for Gradient Boosted Decision Trees. ICML 2018: 4584-4592 - [c395]Yifan Chen, Maarten de Rijke
:
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. DLRS@RecSys 2018: 3-9 - [c394]Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke
:
Preference elicitation as an optimization problem. RecSys 2018: 172-180 - [c393]Svitlana Vakulenko, Maarten de Rijke
, Michael Cochez
, Vadim Savenkov
, Axel Polleres:
Measuring Semantic Coherence of a Conversation. ISWC (1) 2018: 634-651 - [c392]Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke
:
A Click Sequence Model for Web Search. SIGIR 2018: 45-54 - [c391]Xiaohui Xie, Jiaxin Mao, Maarten de Rijke
, Ruizhe Zhang, Min Zhang, Shaoping Ma:
Constructing an Interaction Behavior Model for Web Image Search. SIGIR 2018: 425-434 - [c390]Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke
:
Weakly-supervised Contextualization of Knowledge Graph Facts. SIGIR 2018: 765-774 - [c389]Harrie Oosterhuis, Maarten de Rijke
:
Ranking for Relevance and Display Preferences in Complex Presentation Layouts. SIGIR 2018: 845-854 - [c388]Christophe Van Gysel, Maarten de Rijke
:
Pytrec_eval: An Extremely Fast Python Interface to trec_eval. SIGIR 2018: 873-876 - [c387]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
:
Attention-based Hierarchical Neural Query Suggestion. SIGIR 2018: 1093-1096 - [c386]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
:
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. SIGIR 2018: 1379-1382 - [c385]Paul Groth
, Laura Koesten
, Philipp Mayr, Maarten de Rijke
, Elena Simperl
:
DATA: SEARCH'18 - Searching Data on the Web. SIGIR 2018: 1419-1422 - [c384]Xiaohui Xie, Yiqun Liu, Maarten de Rijke
, Jiyin He, Min Zhang, Shaoping Ma:
Why People Search for Images using Web Search Engines. WSDM 2018: 655-663 - [c383]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. WSDM 2018: 779-780 - [c382]Maarten de Rijke
:
Learning to Search for Datasets. WWW (Companion Volume) 2018: 1483 - [c381]Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke
:
Manifold Learning for Rank Aggregation. WWW 2018: 1735-1744 - [i62]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. CoRR abs/1801.02178 (2018) - [i61]Ziming Li, Artem Grotov, Julia Kiseleva, Maarten de Rijke, Harrie Oosterhuis:
Optimizing Interactive Systems with Data-Driven Objectives. CoRR abs/1802.06306 (2018) - [i60]Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov, Maarten de Rijke:
Finding Influential Training Samples for Gradient Boosted Decision Trees. CoRR abs/1802.06640 (2018) - [i59]Christophe Van Gysel, Maarten de Rijke:
Pytrec_eval: An Extremely Fast Python Interface to trec_eval. CoRR abs/1805.01597 (2018) - [i58]Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke:
Weakly-supervised Contextualization of Knowledge Graph Facts. CoRR abs/1805.02393 (2018) - [i57]Harrie Oosterhuis, Maarten de Rijke:
Ranking for Relevance and Display Preferences in Complex Presentation Layouts. CoRR abs/1805.02404 (2018) - [i56]Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma:
Constructing an Interaction Behavior Model for Web Image Search. CoRR abs/1805.02811 (2018) - [i55]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Attention-based Hierarchical Neural Query Suggestion. CoRR abs/1805.02816 (2018) - [i54]Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke:
A Click Sequence Model for Web Search. CoRR abs/1805.03411 (2018) - [i53]Maartje ter Hoeve, Anne Schuth, Daan Odijk, Maarten de Rijke:
Faithfully Explaining Rankings in a News Recommender System. CoRR abs/1805.05447 (2018) - [i52]Paul Groth, Laura Koesten, Philipp Mayr, Maarten de Rijke, Elena Simperl:
DATA: SEARCH'18 - Searching Data on the Web. CoRR abs/1805.11883 (2018) - [i51]Sapna Negi, Maarten de Rijke, Paul Buitelaar:
Open Domain Suggestion Mining: Problem Definition and Datasets. CoRR abs/1806.02179 (2018) - [i50]Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Rerank. CoRR abs/1806.05819 (2018) - [i49]Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, Axel Polleres:
Measuring Semantic Coherence of a Conversation. CoRR abs/1806.06411 (2018) - [i48]Chang Li, Maarten de Rijke:
Incremental Sparse Bayesian Ordinal Regression. CoRR abs/1806.06553 (2018) - [i47]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. CoRR abs/1806.08977 (2018) - [i46]Yifan Chen, Maarten de Rijke:
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. CoRR abs/1807.05730 (2018) - [i45]Shaojie Jiang, Maarten de Rijke:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. CoRR abs/1809.01941 (2018) - [i44]Harrie Oosterhuis, Maarten de Rijke:
Differentiable Unbiased Online Learning to Rank. CoRR abs/1809.08415 (2018) - [i43]Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke:
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. CoRR abs/1810.05436 (2018) - [i42]Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke:
The Potential of Learned Index Structures for Index Compression. CoRR abs/1811.06678 (2018) - [i41]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. CoRR abs/1812.02646 (2018) - [i40]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. CoRR abs/1812.03509 (2018) - [i39]Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi:
Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. CoRR abs/1812.04412 (2018) - [i38]Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke:
Online Learning to Rank with List-level Feedback for Image Filtering. CoRR abs/1812.04910 (2018) - [i37]Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke:
QRFA: A Data-Driven Model of Information-Seeking Dialogues. CoRR abs/1812.10720 (2018) - 2017
- [j86]Xinyi Li, Bob J. A. Schijvenaars
, Maarten de Rijke
:
Investigating queries and search failures in academic search. Inf. Process. Manag. 53(3): 666-683 (2017) - [j85]Fei Cai, Shuaiqiang Wang, Maarten de Rijke:
Behavior-based personalization in web search. J. Assoc. Inf. Sci. Technol. 68(4): 855-868 (2017) - [j84]Christopher Power
, Andrew Lewis, Helen Petrie, Katie Green
, Julian Richards
, Mark G. Eramian, Brittany Chan, Ekta Walia, Isaac Sijaranamual, Maarten de Rijke:
Improving Archaeologists' Online Archive Experiences Through User-Centred Design. ACM Journal on Computing and Cultural Heritage 10(1): 3:1-3:20 (2017) - [j83]Hui Fang
, Jaap Kamps, Evangelos Kanoulas
, Maarten de Rijke
, Emine Yilmaz:
Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR?17). SIGIR Forum 51(3): 78-87 (2017) - [j82]Jon Degenhardt, Surya Kallumadi, Yiu-Chang Lin, Maarten de Rijke, Luo Si, Andrew Trotman, Sindhuja Venkatesh, Yinghui Xu:
Report on the SIGIR 2017 Workshop on eCommerce (ECOM17). SIGIR Forum 51(3): 128-138 (2017) - [j81]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum 51(3): 152-158 (2017) - [j80]Shangsong Liang
, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft:
Search Result Diversification in Short Text Streams. ACM Trans. Inf. Syst. 36(1): 8:1-8:35 (2017) - [j79]Shangsong Liang, Zhaochun Ren
, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. 36(1): 10:1-10:37 (2017) - [c380]Harrie Oosterhuis, Maarten de Rijke
:
Sensitive and Scalable Online Evaluation with Theoretical Guarantees. CIKM 2017: 77-86 - [c379]Harrie Oosterhuis, Maarten de Rijke
:
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. CIKM 2017: 277-286 - [c378]Ilya Markov, Alexey Borisov, Maarten de Rijke
:
Online Expectation-Maximization for Click Models. CIKM 2017: 2195-2198 - [c377]Xinyi Li, Maarten de Rijke:
Academic Search in Response to Major Scientific Events. BIR@ECIR 2017: 41-50 - [c376]Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx
, Jaap Kamps
, Maarten de Rijke
:
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. ECIR 2017: 68-81 - [c375]Anna Sepliarskaia, Filip Radlinski, Maarten de Rijke:
Simple Personalized Search Based on Long-Term Behavioral Signals. ECIR 2017: 95-107 - [c374]Xinyi Li, Maarten de Rijke
:
Do Topic Shift and Query Reformulation Patterns Correlate in Academic Search? ECIR 2017: 146-159 - [c373]Nikos Voskarides, Edgar Meij, Maarten de Rijke
:
Generating Descriptions of Entity Relationships. ECIR 2017: 317-330 - [c372]Christophe Van Gysel, Evangelos Kanoulas, Maarten de Rijke
:
Pyndri: A Python Interface to the Indri Search Engine. ECIR 2017: 744-748 - [c371]Christophe Van Gysel, Maarten de Rijke
, Evangelos Kanoulas
:
Structural Regularities in Text-based Entity Vector Spaces. ICTIR 2017: 3-10 - [c370]Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke:
Query-Level Ranker Specialization. LEARNER@ICTIR 2017 - [c369]Stepan Malkevich, Ilya Markov, Elena Michailova, Maarten de Rijke
:
Evaluating and Analyzing Click Simulation in Web Search. ICTIR 2017: 281-284 - [c368]Ziming Li, Julia Kiseleva, Maarten de Rijke
, Artem Grotov:
Towards Learning Reward Functions from User Interactions. ICTIR 2017: 289-292 - [c367]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, Maarten de Rijke
:
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. SIGIR 2017: 95-104 - [c366]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Personalized Query Suggestion Diversification. SIGIR 2017: 817-820 - [c365]Ziming Li, Maarten de Rijke
:
The Impact of Linkage Methods in Hierarchical Clustering for Active Learning to Rank. SIGIR 2017: 941-944 - [c364]Yifan Chen, Xiang Zhao, Maarten de Rijke
:
Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. SIGIR 2017: 985-988 - [c363]Rolf Jagerman
, Carsten Eickhoff, Maarten de Rijke
:
Computing Web-scale Topic Models using an Asynchronous Parameter Server. SIGIR 2017: 1337-1340 - [c362]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke
, Bhaskar Mitra:
Neural Networks for Information Retrieval. SIGIR 2017: 1403-1406 - [c361]Jon Degenhardt, Surya Kallumadi, Maarten de Rijke
, Luo Si, Andrew Trotman, Yinghui Xu:
SIGIR 2017 Workshop on eCommerce (ECOM17). SIGIR 2017: 1425-1426 - [c360]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR 2017: 1431-1432 - [c359]Rolf Jagerman, Krisztian Balog, Philipp Schaer, Johann Schaible, Narges Tavakolpoursaleh, Maarten de Rijke:
Overview of TREC OpenSearch 2017. TREC 2017 - [c358]Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke:
Summarizing Answers in Non-Factoid Community Question-Answering. WSDM 2017: 405-414 - [c357]Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM 2017: 485-494 - [e14]Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz:
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017. ACM 2017, ISBN 978-1-4503-4490-6 [contents] - [e13]Maarten de Rijke, Milad Shokouhi, Andrew Tomkins, Min Zhang:
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017. ACM 2017, ISBN 978-1-4503-4675-7 [contents] - [i36]Christophe Van Gysel, Evangelos Kanoulas, Maarten de Rijke:
Pyndri: a Python Interface to the Indri Search Engine. CoRR abs/1701.00749 (2017) - [i35]David Graus, Daan Odijk, Maarten de Rijke:
The Birth of Collective Memories: Analyzing Emerging Entities in Text Streams. CoRR abs/1701.04039 (2017) - [i34]Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke:
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. CoRR abs/1701.04273 (2017) - [i33]Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas:
Semantic Entity Retrieval Toolkit. CoRR abs/1706.03757 (2017) - [i32]Julia Kiseleva, Maarten de Rijke:
Evaluating Personal Assistants on Mobile devices. CoRR abs/1706.04524 (2017) - [i31]Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. CoRR abs/1707.04242 (2017) - [i30]Rolf Jagerman, Julia Kiseleva, Maarten de Rijke:
Modeling Label Ambiguity for Neural List-Wise Learning to Rank. CoRR abs/1707.07493 (2017) - [i29]Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. CoRR abs/1707.07605 (2017) - [i28]Dat Tien Nguyen, Shafiq R. Joty, Basma El Amel Boussaha, Maarten de Rijke:
Thread Reconstruction in Conversational Data using Neural Coherence Models. CoRR abs/1707.07660 (2017) - [i27]Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas:
Structural Regularities in Text-based Entity Vector Spaces. CoRR abs/1707.07930 (2017) - [i26]Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas:
Neural Vector Spaces for Unsupervised Information Retrieval. CoRR abs/1708.02702 (2017) - [i25]Ziming Li, Julia Kiseleva, Maarten de Rijke, Artem Grotov:
Towards Learning Reward Functions from User Interactions. CoRR abs/1708.04378 (2017) - [i24]Svitlana Vakulenko, Ilya Markov, Maarten de Rijke:
Conversational Exploratory Search via Interactive Storytelling. CoRR abs/1709.05298 (2017) - [i23]Harrie Oosterhuis, Maarten de Rijke:
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. CoRR abs/1711.09446 (2017) - [i22]Harrie Oosterhuis, Maarten de Rijke:
Sensitive and Scalable Online Evaluation with Theoretical Guarantees. CoRR abs/1711.09454 (2017) - [i21]Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma:
Why People Search for Images using Web Search Engines. CoRR abs/1711.09559 (2017) - [i20]Tom Kenter, Maarten de Rijke:
Attentive Memory Networks: Efficient Machine Reading for Conversational Search. CoRR abs/1712.07229 (2017) - 2016
- [j78]Fei Cai, Maarten de Rijke
:
A Survey of Query Auto Completion in Information Retrieval. Found. Trends Inf. Retr. 10(4): 273-363 (2016) - [j77]Maria-Hendrike Peetz, Maarten de Rijke
, Rianne Kaptein:
Estimating Reputation Polarity on Microblog Posts. Inf. Process. Manag. 52(2): 193-216 (2016) - [j76]Shangsong Liang
, Maarten de Rijke
:
Formal language models for finding groups of experts. Inf. Process. Manag. 52(4): 529-549 (2016) - [j75]Fei Cai, Maarten de Rijke:
Learning from homologous queries and semantically related terms for query auto completion. Inf. Process. Manag. 52(4): 628-643 (2016) - [j74]Marc Bron, Jasmijn van Gorp, Maarten de Rijke
:
Media studies research in the data-driven age: How research questions evolve. J. Assoc. Inf. Sci. Technol. 67(7): 1535-1554 (2016) - [j73]Maristella Agosti, Omar Alonso, Maarten de Rijke, Raffaele Perego:
Data-Driven Information Retrieval. SIGIR Forum 50(2): 10-14 (2016) - [j72]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke:
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR). SIGIR Forum 50(2): 96-103 (2016) - [j71]Fei Cai
, Shangsong Liang, Maarten de Rijke
:
Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. IEEE Trans. Knowl. Data Eng. 28(9): 2452-2466 (2016) - [j70]Shangsong Liang, Fei Cai, Zhaochun Ren
, Maarten de Rijke:
Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. 28(11): 2958-2973 (2016) - [j69]Fei Cai, Ridho Reinanda, Maarten de Rijke:
Diversifying Query Auto-Completion. ACM Trans. Inf. Syst. 34(4): 25:1-25:33 (2016) - [c356]Tom Kenter, Alexey Borisov, Maarten de Rijke
:
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations. ACL (1) 2016 - [c355]Christophe Van Gysel, Maarten de Rijke
, Evangelos Kanoulas
:
Learning Latent Vector Spaces for Product Search. CIKM 2016: 165-174 - [c354]Aleksandr Chuklin, Maarten de Rijke
:
Incorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation Model. CIKM 2016: 175-184 - [c353]Zhaochun Ren, Oana Inel
, Lora Aroyo
, Maarten de Rijke
:
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. CIKM 2016: 387-396 - [c352]Ridho Reinanda, Edgar Meij, Maarten de Rijke
:
Document Filtering for Long-tail Entities. CIKM 2016: 771-780 - [c351]Yi Fang, Maarten de Rijke, Huangming Xie:
DDTA 2016: The Workshop on Data-Driven Talent Acquisition. CIKM 2016: 2507-2508 - [c350]Harrie Oosterhuis, Anne Schuth
, Maarten de Rijke
:
Probabilistic Multileave Gradient Descent. ECIR 2016: 661-668 - [c349]Christophe Van Gysel, Evangelos Kanoulas
, Maarten de Rijke
:
Lexical Query Modeling in Session Search. ICTIR 2016: 69-72 - [c348]Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke
:
Explainable User Clustering in Short Text Streams. SIGIR 2016: 155-164 - [c347]Masrour Zoghi, Tomás Tunys, Lihong Li, Damien Jose, Junyan Chen, Chun Ming Chin, Maarten de Rijke:
Click-based Hot Fixes for Underperforming Torso Queries. SIGIR 2016: 195-204 - [c346]Alexey Borisov, Ilya Markov, Maarten de Rijke
, Pavel Serdyukov:
A Context-aware Time Model for Web Search. SIGIR 2016: 205-214 - [c345]Joost van Doorn, Daan Odijk, Diederik M. Roijers, Maarten de Rijke
:
Balancing Relevance Criteria through Multi-Objective Optimization. SIGIR 2016: 769-772 - [c344]Sabrina Sauer, Maarten de Rijke
:
Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production. SIGIR 2016: 989-992 - [c343]Fei Cai, Maarten de Rijke
:
Selectively Personalizing Query Auto-Completion. SIGIR 2016: 993-996 - [c342]Artem Grotov, Maarten de Rijke
:
Online Learning to Rank for Information Retrieval: SIGIR 2016 Tutorial. SIGIR 2016: 1215-1218 - [c341]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
:
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. SIGIR 2016: 1245-1246 - [c340]Anne Schuth
, Harrie Oosterhuis, Shimon Whiteson, Maarten de Rijke
:
Multileave Gradient Descent for Fast Online Learning to Rank. WSDM 2016: 457-466 - [c339]David Graus
, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke
:
Dynamic Collective Entity Representations for Entity Ranking. WSDM 2016: 595-604 - [c338]