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ORCIDMaarten de Rijke
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- affiliation: University of Amsterdam, Netherlands
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2020 – today
- 2023
[j135]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)- [j134]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) - [j133]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) - [j132]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) - [j131]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) - [j130]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) - [j129]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) - [c541]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 - [c540]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. AAAI 2023: 13618-13626 - [c539]Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke:
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. ACL (1) 2023: 6322-6334 - [c538]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 - [c537]Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke:
Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. CHIIR 2023: 258-268 - [c536]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 - [c535]Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke:
Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. QPP++@ECIR 2023: 25-28 - [c534]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 - [c533]Thilina Rajapakse, Maarten de Rijke:
Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets. ECIR (2) 2023: 94-109 - [c532]Philipp Hager, Maarten de Rijke, Onno Zoeter:
Contrasting Neural Click Models and Pointwise IPS Rankers. ECIR (1) 2023: 409-425 - [c531]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. ICTIR 2023: 87-93 - [c530]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 - [c529]Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
On the Impact of Outlier Bias on User Clicks. SIGIR 2023: 18-27 - [c528]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. SIGIR 2023: 249-258 - [c527]Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke:
An Offline Metric for the Debiasedness of Click Models. SIGIR 2023: 558-568 - [c526]Dan Li, Maarten de Rijke:
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. SIGIR 2023: 729-738 - [c525]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 - [c524]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 - [c523]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 - [c522]Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke:
Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. SIGIR 2023: 2011-2015 - [c521]Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke:
Repetition and Exploration in Sequential Recommendation. SIGIR 2023: 2532-2541 - [c520]Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction: From Ad-hoc to Conversational Search. SIGIR 2023: 2583-2593 - [c519]Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke:
Complex Item Set Recommendation. SIGIR 2023: 3444-3447 - [c518]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 - [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 - [i179]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) - [i178]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) - [i177]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) - [i176]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Generative Slate Recommendation with Reinforcement Learning. CoRR abs/2301.08632 (2023) - [i175]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) - [i174]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) - [i173]Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke:
An Offline Metric for the Debiasedness of Click Models. CoRR abs/2304.09560 (2023) - [i172]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) - [i171]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) - [i170]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) - [i169]Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. CoRR abs/2305.01522 (2023) - [i168]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) - [i167]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) - [i166]Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction: From Ad-hoc to Conversational Search. CoRR abs/2305.10923 (2023) - [i165]Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke:
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. CoRR abs/2305.12820 (2023) - [i164]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) - [i163]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) - [i162]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) - [i161]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) - [i160]Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani:
Group Membership Bias. CoRR abs/2308.02887 (2023) - [i159]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) - [i158]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) - [i157]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR abs/2309.09833 (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]