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ORCIDMaarten de Rijke
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- affiliation: University of Amsterdam, Netherlands
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2020 – today
- 2022
[j122]Yifan Chen, Yang Wang
, Pengjie Ren, Meng Wang, Maarten de Rijke:
Bayesian feature interaction selection for factorization machines. Artif. Intell. 302: 103589 (2022)- [j121]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) - 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) - [c486]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. ACL/IJCNLP (1) 2021: 5612-5623 - [c485]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 - [c484]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. CIKM 2021: 1869-1878 - [c483]Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke:
Understanding Multi-channel Customer Behavior in Retail. CIKM 2021: 2867-2871 - [c482]Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke:
News Article Retrieval in Context for Event-centric Narrative Creation. ICTIR 2021: 103-112 - [c481]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 - [c480]Olivier Sprangers, Sebastian Schelter, Maarten de Rijke:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. KDD 2021: 1510-1520 - [c479]Wenqiang Lei, Chongming Gao, Maarten de Rijke:
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. RecSys 2021: 842-844 - [c478]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 - [c477]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 - [c476]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 - [c475]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 - [c474]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 - [c473]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 - [c472]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 - [c471]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. SIGIR 2021: 1940-1944 - [c470]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 - [c469]Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke:
ECOM'21: The SIGIR 2021 Workshop on eCommerce. SIGIR 2021: 2685-2688 - [c468]Judith Masthoff, Eelco Herder, Helen Nissenbaum, Maarten de Rijke, Julita Vassileva:
ACM UMAP 2021 Keynote Addresses. UMAP 2021: 1-2 - [c467]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. WSDM 2021: 337-345 - [c466]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 - [c465]Harrie Oosterhuis, Maarten de Rijke:
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. WWW 2021: 158-170 - [c464]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 - [c463]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 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 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]Yifan 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) - [c462]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 - [c461]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 - [c460]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 - [c459]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 - [c458]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 - [c457]Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke:
Star Graph Neural Networks for Session-based Recommendation. CIKM 2020: 1195-1204 - [c456]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 - [c455]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 - [c454]Maurits Bleeker, Maarten de Rijke:
Bidirectional Scene Text Recognition with a Single Decoder. ECAI 2020: 2664-2671 - [c453]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 - [c452]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. EMNLP (Findings) 2020: 3537-3546 - [c451]Ana Lucic, Hinda Haned, Maarten de Rijke:
Why does my model fail?: contrastive local explanations for retail forecasting. FAT* 2020: 90-98 - [c450]Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. ICTIR 2020: 137-144 - [c449]Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, Wei Lu:
WN-Salience: A Corpus of News Articles with Entity Salience Annotations. LREC 2020: 2095-2102 - [c448]Mozhdeh Ariannezhad, Sebastian Schelter, Maarten de Rijke:
Demand Forecasting in the Presence of Privileged Information. AALTD@PKDD/ECML 2020: 46-62 - [c447]Chang Li, Haoyun Feng, Maarten de Rijke:
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. RecSys 2020: 33-42 - [c446]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 - [c445]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 - [c444]Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. SIGIR 2020: 469-478 - [c443]Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. SIGIR 2020: 489-498 - [c442]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 - [c441]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. SIGIR 2020: 921-930 - [c440]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 - [c439]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 - [c438]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
An Intent-guided Collaborative Machine for Session-based Recommendation. SIGIR 2020: 1833-1836 - [c437]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. SIGIR 2020: 1837-1840 - [c436]Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. SIGIR 2020: 2085-2088 - [c435]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. SIGIR 2020: 2089-2092 - [c434]Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428 - [c433]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke:
Modeling User Behavior for Vertical Search: Images, Apps and Products. SIGIR 2020: 2440-2443 - [c432]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 - [c431]Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) 2020: 299-300 - [c430]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]