| 2026 | AAAI | LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation. | Gregory Hok Tjoan Go, Khang Ly, Anders Sgaard, Seyed Amin Tabatabaei, Maarten de Rijke, Xinyi Chen |
| 2026 | AAAI | Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. | Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng |
| 2026 | DASFAA | Generative Store Retrieval in Taobao Search. | Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Kaixuan Zhang, Zhihong Chen, Fuyu Lv, Xueqi Cheng |
| 2026 | EACL | Query Decomposition for RAG: Balancing Exploration-Exploitation. | Roxana Petcu, Kenton Murray, Daniel Khashabi, Evangelos Kanoulas, Maarten de Rijke, Dawn J. Lawrie, Kevin Duh |
| 2026 | ECIR | Multi-Step Semantic Reasoning in Generative Retrieval. | Steven Dong, Yubao Tang, Maarten de Rijke |
| 2026 | ECIR | Tutorial on Reasoning for IR & IR for Reasoning. | Mohanna Hoveyda, Panagiotis Eustratiadis, Arjen P. de Vries, Maarten de Rijke |
| 2026 | ECIR | OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning. | Mohanna Hoveyda, Jelle Piepenbrock, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi |
| 2026 | ECIR | Workshop on Conversational Search for Complex Information Needs. | Roxana Petcu, Mert Yazan, Mohanna Hoveyda, Jirui Qi, Maarten de Rijke |
| 2026 | ECIR | Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching. | Clara Rus, Masoud Mansoury, Andrew Yates, Maarten de Rijke |
| 2026 | ECIR | Judiciously Reducing Sub-group Comparisons for Learning Intersectional Fair Representations. | Clara Rus, Andrew Yates, Maarten de Rijke |
| 2026 | ECIR | Economic Perspectives on Fairness in Information Retrieval. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2026 | ICTIR | Prior-Data Fitted Networks as Tabular Foundation Models for Ranking in Low-Data Settings. | David Vos, Samarth Bhargav, Maarten de Rijke, Harrie Oosterhuis |
| 2026 | WWW | Towards a Responsible Web: Economic Perspectives on Fairness in Information Retrieval. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2026 | WWW | Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory. | Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu, Maarten de Rijke |
| 2026 | WWW | Model Editing for New Document Integration in Generative Information Retrieval. | Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2026 | WWW | LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | CLAX: Fast and Flexible Neural Click Models in JAX. | Philipp Hager, Onno Zoeter, Maarten de Rijke |
| 2026 | SIGIR | Reasoning for IR & IR for Reasoning. | Mohanna Hoveyda, Panagiotis Eustratiadis, Arjen P. de Vries, Maarten de Rijke |
| 2026 | SIGIR | Orcheo: A Modular Full-Stack Platform for Conversational Search. | Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke |
| 2026 | SIGIR | Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces. | Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis |
| 2026 | SIGIR | ERASE - A Real-World Aligned Benchmark for Unlearning in Recommender Systems. | Pierre Sicco Lubitzsch, Maarten de Rijke, Sebastian Schelter |
| 2026 | SIGIR | Lost in | Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke |
| 2026 | SIGIR | A Parametric Memory Head for Continual Generative Retrieval. | Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke |
| 2026 | SIGIR | Reward Shaping for Robust Refusal in Small Language Models for Retrieval-Augmented Question Answering. | Thilina Chaturanga Rajapakse, Maarten de Rijke |
| 2026 | SIGIR | MANILA26: SIGIR 2026 Tutorial on Information Retrieval for Climate Change Impact. | Maarten de Rijke, Flora D. Salim |
| 2026 | SIGIR | AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | VulGen: Workshop on Vulnerabilities in Generative Systems for Information Retrieval. | Shuoqi Sun, Sara Allawati, Laura Dietz, Madhurima Khirbat, Bhaskar Mitra, Maarten de Rijke, Damiano Spina |
| 2026 | SIGIR | The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium. | Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke |
| 2025 | AAAI | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | AAAI | ExcluIR: Exclusionary Neural Information Retrieval. | Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren |
| 2025 | ACL | Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models. | Amin Abolghasemi, Leif Azzopardi, Seyyed Hadi Hashemi, Maarten de Rijke, Suzan Verberne |
| 2025 | ACL | Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval. | Kidist Amde Mekonnen, Yosef Worku Alemneh, Maarten de Rijke |
| 2025 | ACL | The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng |
| 2025 | CHIIR | Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search. | Clemencia Siro, Zahra Abbasiantaeb, Yifei Yuan, Mohammad Aliannejadi, Maarten de Rijke |
| 2025 | CIKM | DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. | Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | ECIR | PEIR: Modeling Performance in Neural Information Retrieval. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2025 | ECIR | Repeat-Bias-Aware Optimization of Beyond-Accuracy Metrics for Next Basket Recommendation. | Yuanna Liu, Ming Li, Mohammad Aliannejadi, Maarten de Rijke |
| 2025 | ECIR | On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng |
| 2025 | ECIR | Malevolence Attacks Against Pretrained Dialogue Models. | Pengjie Ren, Ruiqi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke, Yangjun Zhang |
| 2025 | ECIR | Revisiting Language Models in Neural News Recommender Systems. | Yuyue Zhao, Jin Huang, David Vos, Maarten de Rijke |
| 2025 | EMNLP | What if Othello-Playing Language Models Could See? | Xinyi Chen, Yifei Yuan, Jiaang Li, Serge J. Belongie, Maarten de Rijke, Anders Sgaard |
| 2025 | EMNLP | Controlled Retrieval-augmented Context Evaluation for Long-form RAG. | Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates |
| 2025 | EMNLP | A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers. | Roxana Petcu, Samarth Bhargav, Maarten de Rijke, Evangelos Kanoulas |
| 2025 | ICLR | MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. | Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2025 | ICTIR | Towards Two-Stage Counterfactual Learning to Rank. | Shashank Gupta, Yiming Liao, Maarten de Rijke |
| 2025 | ICTIR | Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank. | Philipp Hager, Onno Zoeter, Maarten de Rijke |
| 2025 | ICTIR | Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models. | Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis |
| 2025 | ICTIR | Correctness is not Faithfulness in Retrieval Augmented Generation Attributions. | Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand |
| 2025 | KDD | FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking. | Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin |
| 2025 | KDD | Generative Retrieval for Book Search. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2025 | RecSys | Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values. | Barrie Kersbergen, Olivier Sprangers, Bojan Karlas, Maarten de Rijke, Sebastian Schelter |
| 2025 | RecSys | A Reproducibility Study of Product-side Fairness in Bundle Recommendation. | Huy-Son Nguyen, Yuanna Liu, Masoud Mansoury, Mohammad Aliannejadi, Alan Hanjalic, Maarten de Rijke |
| 2025 | RecSys | LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. | Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke |
| 2025 | WWW | A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. | Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2025 | SIGIR | Constrained Auto-Regressive Decoding Constrains Generative Retrieval. | Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren |
| 2025 | SIGIR | FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval. | Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | SIGIR | Fairness in Information Retrieval from an Economic Perspective. | Chen Xu, Clara Rus, Yuanna Liu, Marleen de Jonge, Jun Xu, Maarten de Rijke |
| 2025 | SIGIR | Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. | Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke |
| 2025 | SIGIR | Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study. | Mariya Hendriksen, Shuo Zhang, Ridho Reinanda, Mohamed Yahya, Edgar Meij, Maarten de Rijke |
| 2025 | SIGIR | RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. | Maria Heuss, Maarten de Rijke, Avishek Anand |
| 2025 | SIGIR | Adaptive Orchestration of Modular Generative Information Access Systems. | Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi |
| 2025 | SIGIR | MANILA25: SIGIR 2025 Workshop on Information Retrieval for Climate Impact. | Bart van den Hurk, Maarten de Rijke, Flora Salim |
| 2025 | SIGIR | RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. | Santiago de Leon-Martinez, Jingwei Kang, Rbert Mro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Mria Bielikov |
| 2025 | SIGIR | On the Scaling of Robustness and Effectiveness in Dense Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval. | Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke |
| 2025 | SIGIR | Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | An Empirical Study of Evaluating Long-form Question Answering. | Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo |
| 2025 | SIGIR | Replication and Exploration of Generative Retrieval over Dynamic Corpora. | Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren |
| 2025 | SIGIR | Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. | Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin |
| 2025 | UAI | Distributional Reinforcement Learning with Dual Expectile-Quantile Regression. | Sami Jullien, Romain Deffayet, Jean-Michel Renders, Paul Groth, Maarten de Rijke |
| 2025 | WSDM | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | AAAI | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. | Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. | Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne |
| 2024 | ACL | Real World Conversational Entity Linking Requires More Than Zero-Shots. | Mohanna Hoveyda, Arjen P. de Vries, Faegheh Hasibi, Maarten de Rijke |
| 2024 | ACL | MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. | Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei |
| 2024 | ACL | Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | CIKM | Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2024 | CIKM | AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. | Clara Rus, Gabrielle Poerwawinata, Andrew Yates, Maarten de Rijke |
| 2024 | CIKM | GaQR: An Efficient Generation-augmented Question Rewriter. | Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng |
| 2024 | ECAI | QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. | Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke |
| 2024 | ECIR | Measuring Bias in a Ranked List Using Term-Based Representations. | Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne |
| 2024 | ECIR | Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. | Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | ECIR | Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. | Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke |
| 2024 | ECIR | A Study of Pre-processing Fairness Intervention Methods for Ranking People. | Clara Rus, Andrew Yates, Maarten de Rijke |
| 2024 | ECIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | EMNLP | The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. | Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke |
| 2024 | EMNLP | KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. | Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2024 | EMNLP | Table Question Answering for Low-resourced Indic Languages. | Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke |
| 2024 | EMNLP | Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. | Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | ICDE | Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. | Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter |
| 2024 | ICTIR | Distillation vs. Sampling for Efficient Training of Learning to Rank Models. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2024 | KDD | Advances in Human Event Modeling: From Graph Neural Networks to Language Models. | Songgaojun Deng, Maarten de Rijke, Yue Ning |
| 2024 | KDD | Text Matching Indexers in Taobao Search. | Sen Li, Fuyu Lv, Ruqing Zhang, Dan Ou, Zhixuan Zhang, Maarten de Rijke |
| 2024 | NAACL | Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. | Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | RecSys | Optimal Baseline Corrections for Off-Policy Contextual Bandits. | Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke |
| 2024 | RecSys | Towards Empathetic Conversational Recommender Systems. | Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren |
| 2024 | WWW | Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. | Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam |
| 2024 | WWW | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Generative Retrieval as Multi-Vector Dense Retrieval. | Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren |
| 2024 | SIGIR | Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. | Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke |
| 2024 | SIGIR | Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. | Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke |
| 2024 | SIGIR | MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact. | Bart van den Hurk, Maarten de Rijke, Flora D. Salim |
| 2024 | SIGIR | SIGIR 2024 Workshop on eCommerce (ECOM24). | Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka |
| 2024 | SIGIR | Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees. | Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis |
| 2024 | SIGIR | Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? | Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | SIGIR | Large Language Models for Next Point-of-Interest Recommendation. | Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim |
| 2024 | SIGIR | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Ranked List Truncation for Large Language Model-based Re-Ranking. | Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | SIGIR | Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. | Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke |
| 2024 | SIGIR | Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. | Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | SIGIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. | Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani |
| 2024 | SIGIR | Are Large Language Models Good at Utility Judgments? | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. | Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke |
| 2023 | AAAI | Feature-Level Debiased Natural Language Understanding. | Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren |
| 2023 | AAAI | Contrastive Learning Reduces Hallucination in Conversations. | Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | ACL | MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. | Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke |
| 2023 | ACL | Answering Ambiguous Questions via Iterative Prompting. | Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2023 | CHIIR | Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. | Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke |
| 2023 | CHIIR | How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. | Fatemeh Sarvi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2023 | CIKM | Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. | Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | CIKM | Continual Learning for Generative Retrieval over Dynamic Corpora. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Predictive Uncertainty-based Bias Mitigation in Ranking. | Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff |
| 2023 | CIKM | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | System Initiative Prediction for Multi-turn Conversational Information Seeking. | Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | ECIR | Contrasting Neural Click Models and Pointwise IPS Rankers. | Philipp Hager, Maarten de Rijke, Onno Zoeter |
| 2023 | ECIR | Scene-Centric vs. Object-Centric Image-Text Cross-Modal Retrieval: A Reproducibility Study. | Mariya Hendriksen, Svitlana Vakulenko, Ernst Kuiper, Maarten de Rijke |
| 2023 | ECIR | Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. | Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | ECIR | Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets. | Thilina Rajapakse, Maarten de Rijke |
| 2023 | EMNLP | Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. | Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | EMNLP | From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | ICTIR | A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | RecSys | Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. | Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke |
| 2023 | WWW | A Self-Correcting Sequential Recommender. | Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren |
| 2023 | SIGIR | Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. | Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren |
| 2023 | SIGIR | Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. | Dan Li, Maarten de Rijke |
| 2023 | SIGIR | Complex Item Set Recommendation. | Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke |
| 2023 | SIGIR | A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | An Offline Metric for the Debiasedness of Click Models. | Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke |
| 2023 | SIGIR | Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | SIGIR | eCom'23: The SIGIR 2023 Workshop on eCommerce. | Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2023 | SIGIR | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Repetition and Exploration in Sequential Recommendation. | Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke |
| 2023 | SIGIR | Query Performance Prediction: From Ad-hoc to Conversational Search. | Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | SIGIR | On the Impact of Outlier Bias on User Clicks. | Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2023 | SIGIR | Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. | Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke |
| 2023 | WSDM | A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. | Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke |
| 2023 | WSDM | Generative Slate Recommendation with Reinforcement Learning. | Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke |
| 2023 | WSDM | Beyond-Accuracy Goals, Again. | Maarten de Rijke |
| 2022 | AAAI | Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. | Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke |
| 2022 | AAAI | FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. | Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke |
| 2022 | ACL | Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. | Yangjun Zhang, Pengjie Ren, Wentao Deng, Zhumin Chen, Maarten de Rijke |
| 2022 | AISTATS | CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. | Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri |
| 2022 | CIKM | Intersection of Parallels as an Early Stopping Criterion. | Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani |
| 2022 | CIKM | Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng |
| 2022 | ECIR | Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? | Maurits J. R. Bleeker, Maarten de Rijke |
| 2022 | ECIR | Extending CLIP for Category-to-Image Retrieval in E-Commerce. | Mariya Hendriksen, Maurits J. R. Bleeker, Svitlana Vakulenko, Nanne van Noord, Ernst Kuiper, Maarten de Rijke |
| 2022 | KDD | Debiasing Learning for Membership Inference Attacks Against Recommender Systems. | Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren |
| 2022 | NAACL | What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research. | Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke |
| 2022 | RecSys | RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. | Sanne Vrijenhoek, Gabriel Bndict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke |
| 2022 | WWW | Understanding Financial Information Seeking Behavior from User Interactions with Company Filings. | Mozhdeh Ariannezhad, Mohamed Yahya, Edgar Meij, Sebastian Schelter, Maarten de Rijke |
| 2022 | SIGIR | ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. | Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke |
| 2022 | SIGIR | Fairness of Exposure in Light of Incomplete Exposure Estimation. | Maria Heuss, Fatemeh Sarvi, Maarten de Rijke |
| 2022 | SIGIR | State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. | Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke |
| 2022 | SIGIR | eCom'22: The SIGIR 2022 Workshop on eCommerce. | Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2022 | SIGIR | Towards Reproducible Machine Learning Research in Information Retrieval. | Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic |
| 2022 | SIGIR | Variational Reasoning about User Preferences for Conversational Recommendation. | Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | Understanding User Satisfaction with Task-oriented Dialogue Systems. | Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2022 | SIGIR | Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. | Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke |
| 2022 | SIGIR | ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. | Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | Personalized Abstractive Opinion Tagging. | Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2022 | WSDM | It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. | Jin Huang, Harrie Oosterhuis, Maarten de Rijke |
| 2022 | WSDM | Understanding and Mitigating the Effect of Outliers in Fair Ranking. | Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2021 | ACL | Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. | Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou |
| 2021 | ACL | A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. | Yangjun Zhang, Pengjie Ren, Maarten de Rijke |
| 2021 | CIKM | Understanding Multi-channel Customer Behavior in Retail. | Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke |
| 2021 | CIKM | Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. | Ali Vardasbi, Maarten de Rijke, Ilya Markov |
| 2021 | IJCAI | Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract). | Harrie Oosterhuis, Maarten de Rijke |
| 2021 | ICTIR | News Article Retrieval in Context for Event-centric Narrative Creation. | Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke |
| 2021 | KDD | Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. | Olivier Sprangers, Sebastian Schelter, Maarten de Rijke |
| 2021 | RecSys | RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. | Wenqiang Lei, Chongming Gao, Maarten de Rijke |
| 2021 | WWW | Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. | Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke |
| 2021 | WWW | Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. | Harrie Oosterhuis, Maarten de Rijke |
| 2021 | WWW | A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. | Jiahuan Pei, Pengjie Ren, Maarten de Rijke |
| 2021 | SIGIR | Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2021 | SIGIR | ECOM'21: The SIGIR 2021 Workshop on eCommerce. | Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke |
| 2021 | SIGIR | Investigating Session Search Behavior with Knowledge Graphs. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | Semi-Supervised Variational Reasoning for Medical Dialogue Generation. | Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke |
| 2021 | SIGIR | Standing in Your Shoes: External Assessments for Personalized Recommender Systems. | Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, Shaoping Ma |
| 2021 | SIGIR | Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. | Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke |
| 2021 | SIGIR | Wizard of Search Engine: Access to Information Through Conversations with Search Engines. | Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke |
| 2021 | SIGIR | Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. | Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | SIGIR | Conversations Powered by Cross-Lingual Knowledge. | Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | SIGIR | Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. | Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke |
| 2021 | WSDM | Abstractive Opinion Tagging. | Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | WSDM | Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. | Harrie Oosterhuis, Maarten de Rijke |
| 2020 | AAAI | RefNet: A Reference-Aware Network for Background Based Conversation. | Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | AAAI | Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. | Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | CHIIR | Conversations with Documents: An Exploration of Document-Centered Assistance. | Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White |
| 2020 | CIKM | Improving End-to-End Sequential Recommendations with Intent-aware Diversification. | Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke |
| 2020 | CIKM | Learning Better Representations for Neural Information Retrieval with Graph Information. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | CIKM | Star Graph Neural Networks for Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke |
| 2020 | CIKM | When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. | Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke |
| 2020 | ECAI | Bidirectional Scene Text Recognition with a Single Decoder. | Maurits J. R. Bleeker, Maarten de Rijke |
| 2020 | ECAI | Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. | Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke |
| 2020 | EMNLP | Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2020 | EMNLP | Guided Dialogue Policy Learning without Adversarial Learning in the Loop. | Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao |
| 2020 | ICTIR | Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. | Harrie Oosterhuis, Maarten de Rijke |
| 2020 | LREC | WN-Salience: A Corpus of News Articles with Entity Salience Annotations. | Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, Wei Lu |
| 2020 | RecSys | Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. | Chang Li, Haoyun Feng, Maarten de Rijke |
| 2020 | RecSys | Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. | Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof |
| 2020 | WWW | Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. | Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2020 | WWW | Unbiased Learning to Rank: Counterfactual and Online Approaches. | Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2020 | SIGIR | Accelerated Convergence for Counterfactual Learning to Rank. | Rolf Jagerman, Maarten de Rijke |
| 2020 | SIGIR | Conversational Recommendation: Formulation, Methods, and Evaluation. | Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua |
| 2020 | SIGIR | Meta Matrix Factorization for Federated Rating Predictions. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng |
| 2020 | SIGIR | DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. | Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke |
| 2020 | SIGIR | Policy-Aware Unbiased Learning to Rank for Top-k Rankings. | Harrie Oosterhuis, Maarten de Rijke |
| 2020 | SIGIR | An Intent-guided Collaborative Machine for Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke |
| 2020 | SIGIR | Rethinking Item Importance in Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke |
| 2020 | SIGIR | An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. | Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke |
| 2020 | SIGIR | Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. | Ali Vardasbi, Maarten de Rijke, Ilya Markov |
| 2020 | SIGIR | Query Resolution for Conversational Search with Limited Supervision. | Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke |
| 2020 | SIGIR | Coding Electronic Health Records with Adversarial Reinforcement Path Generation. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke |
| 2020 | SIGIR | Modeling User Behavior for Vertical Search: Images, Apps and Products. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke |
| 2020 | SIGIR | Preference-based Evaluation Metrics for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma |
| 2020 | WSDM | NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. | Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke |
| 2019 | AAAI | Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2019 | AAAI | RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. | Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | CIKM | A Dynamic Co-attention Network for Session-based Recommendation. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2019 | CIKM | Message Passing for Complex Question Answering over Knowledge Graphs. | Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez |
| 2019 | CIKM | Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | CIKM | Improving Web Image Search with Contextual Information. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma |
| 2019 | ECIR | Optimizing Ranking Models in an Online Setting. | Harrie Oosterhuis, Maarten de Rijke |
| 2019 | ECIR | QRFA: A Data-Driven Model of Information-Seeking Dialogues. | Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke |
| 2019 | IJCAI | Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model. | Chang Li, Maarten de Rijke |
| 2019 | WWW | ViTOR: Learning to Rank Webpages Based on Visual Features. | Bram van den Akker, Ilya Markov, Maarten de Rijke |
| 2019 | WWW | Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. | Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke |
| 2019 | WWW | Improving Outfit Recommendation with Co-supervision of Fashion Generation. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | WWW | Grid-based Evaluation Metrics for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Yunqiu Shao, Zixin Ye, Min Zhang, Shaoping Ma |
| 2019 | SIGIR | Bayesian Personalized Feature Interaction Selection for Factorization Machines. | Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke |
| 2019 | SIGIR | M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. | Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke |
| 2019 | SIGIR | To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. | Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke |
| 2019 | SIGIR | Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. | Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2019 | SIGIR | π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. | Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, Maarten de Rijke |
| 2019 | SIGIR | Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR). | Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand |
| 2019 | SIGIR | Length-adaptive Neural Network for Answer Selection. | Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2019 | SIGIR | A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. | Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, Maarten de Rijke |
| 2019 | UAI | BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. | Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvri, Masrour Zoghi |
| 2019 | WSDM | Learning to Transform, Combine, and Reason in Open-Domain Question Answering. | Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke |
| 2019 | WSDM | When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. | Rolf Jagerman, Ilya Markov, Maarten de Rijke |
| 2019 | WSDM | Reinforcement Learning to Rank. | Maarten de Rijke |
| 2018 | ADCS | The Potential of Learned Index Structures for Index Compression. | Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke |
| 2018 | CIKM | Calibration: A Simple Way to Improve Click Models. | Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke |
| 2018 | CIKM | Attentive Encoder-based Extractive Text Summarization. | Chong Feng, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2018 | CIKM | Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search. | Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas |
| 2018 | CIKM | Differentiable Unbiased Online Learning to Rank. | Harrie Oosterhuis, Maarten de Rijke |
| 2018 | CIKM | Shifting Information Interactions. | Maarten de Rijke |
| 2018 | CIKM | Web-based Startup Success Prediction. | Boris Sharchilev, Michael Roizner, Andrey Yu. Rumyantsev, Denis Ozornin, Pavel Serdyukov, Maarten de Rijke |
| 2018 | EMNLP | Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. | Shaojie Jiang, Maarten de Rijke |
| 2018 | ICLR | Deep Learning with Logged Bandit Feedback. | Thorsten Joachims, Adith Swaminathan, Maarten de Rijke |
| 2018 | ICML | Finding Influential Training Samples for Gradient Boosted Decision Trees. | Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten de Rijke |
| 2018 | RecSys | A Collective Variational Autoencoder for Top-N Recommendation with Side Information. | Yifan Chen, Maarten de Rijke |
| 2018 | RecSys | Preference elicitation as an optimization problem. | Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke |
| 2018 | WWW | Manifold Learning for Rank Aggregation. | Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke |
| 2018 | WWW | Learning to Search for Datasets. | Maarten de Rijke |
| 2018 | SIGIR | A Click Sequence Model for Web Search. | Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke |
| 2018 | SIGIR | Attention-based Hierarchical Neural Query Suggestion. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2018 | SIGIR | DATA: SEARCH'18 - Searching Data on the Web. | Paul Groth, Laura Koesten, Philipp Mayr, Maarten de Rijke, Elena Simperl |
| 2018 | SIGIR | Pytrec_eval: An Extremely Fast Python Interface to trec_eval. | Christophe Van Gysel, Maarten de Rijke |
| 2018 | SIGIR | Ranking for Relevance and Display Preferences in Complex Presentation Layouts. | Harrie Oosterhuis, Maarten de Rijke |
| 2018 | SIGIR | Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. | Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke |
| 2018 | SIGIR | Weakly-supervised Contextualization of Knowledge Graph Facts. | Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke |
| 2018 | SIGIR | Constructing an Interaction Behavior Model for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma |
| 2018 | WSDM | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2018 | WSDM | Why People Search for Images using Web Search Engines. | Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma |
| 2017 | CIKM | Online Expectation-Maximization for Click Models. | Ilya Markov, Alexey Borisov, Maarten de Rijke |
| 2017 | CIKM | Sensitive and Scalable Online Evaluation with Theoretical Guarantees. | Harrie Oosterhuis, Maarten de Rijke |
| 2017 | CIKM | Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. | Harrie Oosterhuis, Maarten de Rijke |
| 2017 | ECIR | Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. | Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke |
| 2017 | ECIR | Pyndri: A Python Interface to the Indri Search Engine. | Christophe Van Gysel, Evangelos Kanoulas, Maarten de Rijke |
| 2017 | ECIR | Do Topic Shift and Query Reformulation Patterns Correlate in Academic Search? | Xinyi Li, Maarten de Rijke |
| 2017 | ECIR | Academic Search in Response to Major Scientific Events. | Xinyi Li, Maarten de Rijke |
| 2017 | ECIR | Simple Personalized Search Based on Long-Term Behavioral Signals. | Anna Sepliarskaia, Filip Radlinski, Maarten de Rijke |
| 2017 | ECIR | Generating Descriptions of Entity Relationships. | Nikos Voskarides, Edgar Meij, Maarten de Rijke |
| 2017 | ICTIR | Structural Regularities in Text-based Entity Vector Spaces. | Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas |
| 2017 | ICTIR | Query-Level Ranker Specialization. | Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke |
| 2017 | ICTIR | Towards Learning Reward Functions from User Interactions. | Ziming Li, Julia Kiseleva, Maarten de Rijke, Artem Grotov |
| 2017 | ICTIR | Evaluating and Analyzing Click Simulation in Web Search. | Stepan Malkevich, Ilya Markov, Elena Michailova, Maarten de Rijke |
| 2017 | SIGIR | Personalized Query Suggestion Diversification. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2017 | SIGIR | Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. | Yifan Chen, Xiang Zhao, Maarten de Rijke |
| 2017 | SIGIR | SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). | Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra |
| 2017 | SIGIR | SIGIR 2017 Workshop on eCommerce (ECOM17). | Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu |
| 2017 | SIGIR | Computing Web-scale Topic Models using an Asynchronous Parameter Server. | Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke |
| 2017 | SIGIR | Neural Networks for Information Retrieval. | Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra |
| 2017 | SIGIR | The Impact of Linkage Methods in Hierarchical Clustering for Active Learning to Rank. | Ziming Li, Maarten de Rijke |
| 2017 | SIGIR | Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. | Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, Maarten de Rijke |
| 2017 | WSDM | Social Collaborative Viewpoint Regression with Explainable Recommendations. | Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke |
| 2017 | WSDM | Summarizing Answers in Non-Factoid Community Question-Answering. | Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke |