| 2022 | Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders. | Farhan Khawar, Adam Roegiest |
| 2022 | Formal Constraints for Structured Document Retrieval. | Tuomas Ketola, Thomas Roelleke |
| 2022 | Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. | Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li |
| 2022 | BCubed Revisited: Elements Like Me. | Ruben van Heusden, Jaap Kamps, Maarten Marx |
| 2022 | WooIR: A New Open Page Stream Segmentation Dataset. | Ruben van Heusden, Jaap Kamps, Maarten Marx |
| 2022 | On the Effect of Ranking Axioms on IR Evaluation Metrics. | Fernando Giner |
| 2022 | Sparse Pairwise Re-ranking with Pre-trained Transformers. | Lukas Gienapp, Maik Frbe, Matthias Hagen, Martin Potthast |
| 2022 | Evaluating the Cranfield Paradigm for Conversational Search Systems. | Xiao Fu, Emine Yilmaz, Aldo Lipani |
| 2022 | GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval. | Sibo Dong, Justin Goldstein, Grace Hui Yang |
| 2022 | Supervised Contrastive Learning Approach for Contextual Ranking. | Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand |
| 2022 | On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval. | Amin Abolghasemi, Arian Askari, Suzan Verberne |
| 2021 | Session details: Session 3A - Queries. | Guido Zuccon |
| 2021 | Evaluating BERT-based Rewards for Question Generation with Reinforcement Learning. | Peide Zhu, Claudia Hauff |
| 2021 | Ensemble Distillation for BERT-Based Ranking Models. | Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | Session details: Session 2B - Conversational Search. | Hamed Zamani |
| 2021 | Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. | Zhichao Xu, Hansi Zeng, Qingyao Ai |
| 2021 | BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. | Shuai Wang, Shengyao Zhuang, Guido Zuccon |
| 2021 | Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2021 | Effective and Privacy-preserving Federated Online Learning to Rank. | Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon |
| 2021 | User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets. | Lequn Wang, Thorsten Joachims |
| 2021 | News Article Retrieval in Context for Event-centric Narrative Creation. | Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke |
| 2021 | Towards Axiomatic Explanations for Neural Ranking Models. | Michael Vlske, Alexander Bondarenko, Maik Frbe, Benno Stein, Jaspreet Singh, Matthias Hagen, Avishek Anand |
| 2021 | Passage Similarity and Diversification in Non-factoid Question Answering. | Lakshmi Vikraman, Ali Montazeralghaem, Helia Hashemi, W. Bruce Croft, James Allan |
| 2021 | How do Metric Score Distributions affect the Type I Error Rate of Statistical Significance Tests in Information Retrieval? | Julin Urbano, Matteo Corsi, Alan Hanjalic |
| 2021 | A Fast and Exact Randomisation Test for Comparing Two Systems with Paired Data. | Rikiya Suzuki, Tetsuya Sakai |