Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDMaarten de Rijke
Person information
- affiliation: University of Amsterdam, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j110]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)- [j109]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Personalized query suggestion diversification in information retrieval. Frontiers Comput. Sci. 14(3): 143602 (2020) - [j108]Ridho Reinanda, Edgar Meij, Maarten de Rijke:
Knowledge Graphs: An Information Retrieval Perspective. Found. Trends Inf. Retr. 14(4): 289-444 (2020) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]Rolf Jagerman, Ilya Markov, Maarten de Rijke:
Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. 38(3): 24:1-24:23 (2020) - [c458]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 - [c457]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 - [c456]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 - [c455]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 - [c454]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 - [c453]Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke:
Star Graph Neural Networks for Session-based Recommendation. CIKM 2020: 1195-1204 - [c452]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 - [c451]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 - [c450]Maurits Bleeker, Maarten de Rijke:
Bidirectional Scene Text Recognition with a Single Decoder. ECAI 2020: 2664-2671 - [c449]Ana Lucic, Hinda Haned, Maarten de Rijke:
Why does my model fail?: contrastive local explanations for retail forecasting. FAT* 2020: 90-98 - [c448]Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. ICTIR 2020: 137-144 - [c447]Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, Wei Lu:
WN-Salience: A Corpus of News Articles with Entity Salience Annotations. LREC 2020: 2095-2102 - [c446]Chang Li, Haoyun Feng, Maarten de Rijke:
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. RecSys 2020: 33-42 - [c445]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 - [c444]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 - [c443]Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. SIGIR 2020: 469-478 - [c442]Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. SIGIR 2020: 489-498 - [c441]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 - [c440]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. SIGIR 2020: 921-930 - [c439]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 - [c438]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 - [c437]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
An Intent-guided Collaborative Machine for Session-based Recommendation. SIGIR 2020: 1833-1836 - [c436]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. SIGIR 2020: 1837-1840 - [c435]Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. SIGIR 2020: 2085-2088 - [c434]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. SIGIR 2020: 2089-2092 - [c433]Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428 - [c432]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke:
Modeling User Behavior for Vertical Search: Images, Apps and Products. SIGIR 2020: 2440-2443 - [c431]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 - [c430]Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) 2020: 299-300 - [c429]Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke:
Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. WWW 2020: 2486-2492 - [i108]Rolf Jagerman, Ilya Markov, Maarten de Rijke:
Safe Exploration for Optimizing Contextual Bandits. CoRR abs/2002.00467 (2020) - [i107]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) - [i106]Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke:
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. CoRR abs/2003.11963 (2020) - [i105]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. CoRR abs/2004.14162 (2020) - [i104]Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. CoRR abs/2005.04456 (2020) - [i103]Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. CoRR abs/2005.09035 (2020) - [i102]Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. CoRR abs/2005.10615 (2020) - [i101]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. CoRR abs/2005.11723 (2020) - [i100]Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. CoRR abs/2005.11938 (2020) - [i99]Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. CoRR abs/2005.12340 (2020) - [i98]Ziming Li, Julia Kiseleva, Alekh Agarwal, Maarten de Rijke, Ryen W. White:
Optimizing Interactive Systems via Data-Driven Objectives. CoRR abs/2006.12999 (2020) - [i97]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) - [i96]Harrie Oosterhuis, Maarten de Rijke:
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. CoRR abs/2007.12719 (2020) - [i95]Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, Maarten de Rijke:
Attribute-aware Diversification for Sequential Recommendations. CoRR abs/2008.00783 (2020) - [i94]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) - [i93]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. CoRR abs/2008.09706 (2020) - [i92]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) - [i91]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. CoRR abs/2009.09781 (2020)
2010 – 2019
- 2019
- [j102]Xinyi Li, Maarten de Rijke:
Characterizing and predicting downloads in academic search. Inf. Process. Manag. 56(3): 394-407 (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) - [c428]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 - [c427]Ziming Li, Julia Kiseleva, Maarten de Rijke:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. AAAI 2019: 6722-6729 - [c426]Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. BNAIC/BENELEARN 2019 - [c425]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 - [c424]Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
A Dynamic Co-attention Network for Session-based Recommendation. CIKM 2019: 1461-1470 - [c423]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 - [c422]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 - [c421]Harrie Oosterhuis, Maarten de Rijke:
Optimizing Ranking Models in an Online Setting. ECIR (1) 2019: 382-396 - [c420]Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke:
QRFA: A Data-Driven Model of Information-Seeking Dialogues. ECIR (1) 2019: 541-557 - [c419]Chang Li, Maarten de Rijke:
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. IJCAI 2019: 2859-2865 - [c418]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 - [c417]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 - [c416]Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke:
Bayesian Personalized Feature Interaction Selection for Factorization Machines. SIGIR 2019: 665-674 - [c415]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 - [c414]Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke:
Length-adaptive Neural Network for Answer Selection. SIGIR 2019: 869-872 - [c413]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 - [c412]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 - [c411]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 - [c410]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: 47 - [c409]Maarten de Rijke:
Reinforcement Learning to Rank. WSDM 2019: 5 - [c408]Rolf Jagerman, Ilya Markov, Maarten de Rijke:
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM 2019: 447-455 - [c407]Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. WSDM 2019: 681-689 - [c406]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 - [c405]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 - [c404]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW 2019: 2879-2885 - [c403]Bram van den Akker, Ilya Markov, Maarten de Rijke:
ViTOR: Learning to Rank Webpages Based on Visual Features. WWW 2019: 3279-3285 - [e14]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 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]