| 2023 | CSurF: Sparse Lexical Retrieval through Contextualized Surface Forms. | Zhen Fan, Luyu Gao, Jamie Callan |
| 2023 | A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. | Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2022 | I3A: An Intelligent Interactive Information Agent Model for Information Retrieval. | ChengXiang Zhai |
| 2022 | Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. | Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li |
| 2022 | Stochastic Retrieval-Conditioned Reranking. | Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang |
| 2022 | U-BERT for Fast and Scalable Text-Image Retrieval. | Tan Yu, Hongliang Fei, Ping Li |
| 2022 | From Search Queries to Conversations in the Design of Information Retrieval and Access Systems. | Emine Yilmaz |
| 2022 | A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. | Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen |
| 2022 | Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. | Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang |
| 2022 | BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. | Yumeng Wang, Lijun Lyu, Avishek Anand |
| 2022 | Language-Preference-Based Re-ranking for Multilingual Swahili Information Retrieval. | Joseph P. Telemala, Hussein Suleman |
| 2022 | Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles? | Rei Shimizu, Sumio Fujita, Tetsuya Sakai |
| 2022 | The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. | Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman, Guido Zuccon |
| 2022 | Revisiting Open Domain Query Facet Extraction and Generation. | Chris Samarinas, Arkin Dharawat, Hamed Zamani |
| 2022 | The Role of Complex NLP in Transformers for Text Ranking. | David Rau, Jaap Kamps |
| 2022 | Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. | Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis |
| 2022 | Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank. | Harrie Oosterhuis |
| 2022 | IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. | Agns Mustar, Sylvain Lamprier, Benjamin Piwowarski |
| 2022 | Drivers of Information Needs: A Behavioural Study - Exploring Searcher's Feeling-of-Knowing. | Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi |
| 2022 | Filtering out Outliers in Learning to Rank. | Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando |
| 2022 | Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering. | Trond Linjordet, Krisztian Balog, Vinay Setty |
| 2022 | PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation. | Sahiti Labhishetty, ChengXiang Zhai |
| 2022 | A General Framework for Pairwise Unbiased Learning to Rank. | Alexey Kurennoy, John Coleman, Ian Harris, Alice Lynch, Oisn Mac Fheara, Daphne Tsatsoulis |
| 2022 | Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. | Masahiro Kohjima |
| 2022 | The Bandwagon Effect: Not Just Another Bias. | Norman Knyazev, Harrie Oosterhuis |