| 2022 | Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. | Markus Schedl, Emilia Gmez, Elisabeth Lex |
| 2022 | Reduce, Reuse, Recycle: Green Information Retrieval Research. | Harrisen Scells, Shengyao Zhuang, Guido Zuccon |
| 2022 | Towards Suicide Ideation Detection Through Online Conversational Context. | Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek |
| 2022 | On the Role of Relevance in Natural Language Processing Tasks. | Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri |
| 2022 | Intelligent Conversational Agents for Ambient Computing. | Ruhi Sarikaya |
| 2022 | RELISON: A Framework for Link Recommendation in Social Networks. | Javier Sanz-Cruzado, Pablo Castells |
| 2022 | Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations. | Joo S, Vanessa Queiroz Marinho, Ana Rita Magalhes, Tiago Lacerda, Diogo Gonalves |
| 2022 | Adaptive Dialogue Management for Conversational Information Elicitation. | Harshita Sahijwani |
| 2022 | Towards Motivational and Empathetic Response Generation in Online Mental Health Support. | Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha |
| 2022 | Continuous Result Delta Evaluation of IR Systems. | Gabriela Gonzlez Sez |
| 2022 | A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. | Maciej Rybinski, Liam Watts, Sarvnaz Karimi |
| 2022 | Users and Contemporary SERPs: A (Re-)Investigation. | Nirmal Roy, David Maxwell, Claudia Hauff |
| 2022 | Learning to Rank Instant Search Results with Multiple Indices: A Case Study in Search Aggregation for Entertainment. | Scott Rome, Sardar Hamidian, Richard Walsh, Kevin Foley, Ferhan Ture |
| 2022 | Learning to Rank for Knowledge Gain. | Markus Rokicki, Ran Yu, Daniel Hienert |
| 2022 | Risk-Sensitive Deep Neural Learning to Rank. | Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos Andr Gonalves |
| 2022 | What Makes a Good Podcast Summary? | Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff |
| 2022 | Pre-Training for Mathematics-Aware Retrieval. | Anja Reusch |
| 2022 | 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 | Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval. | Revanth Gangi Reddy, Md. Arafat Sultan, Martin Franz, Avirup Sil, Heng Ji |
| 2022 | Relevancy and Diversity in News Recommendations. | Shaina Raza, Chen Ding |
| 2022 | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. | Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2022 | Structure and Semantics Preserving Document Representations. | Natraj Raman, Sameena Shah, Manuela Veloso |
| 2022 | Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison. | Amifa Raj, Michael D. Ekstrand |
| 2022 | DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. | Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael C.-W. Phan, KokSheik Wong |
| 2022 | Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. | Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi |