- Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank
- Tanya Chowdhury, Razieh Rahimi and James Allan
- Entity-Based Relevance Feedback for Document Retrieval
- Eilon Sheetrit, Fiana Raiber and Oren Kurland
- Assessment of the Quality of Topic Models for Information Retrieval Applications
- Meng Yuan, Pauline Lin, Lida Rashidi and Justin Zobel
- Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations
- Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz and Fiana Raiber
- Revisiting Condorcet Fusion
- Liron Tyomkin and Oren Kurland
- A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback
- Shashank Gupta, Harrie Oosterhuis and Maarten de Rijke
- Learning Aligned Cross-Modal and Cross-Product Embeddings for Generating the Topics of Shopping Needs
- Yi-Ru Tsai and Pu-Jen Cheng
- Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
- Alireza Salemi, Mahta Rafiee and Hamed Zamani
- Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
- Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stephane Clinchant, Nicola Ferro and Benjamin Piwowarski
- Perspectives on Large Language Models for Relevance Judgment
- Guglielmo Faggioli, Laura Dietz, Charles Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein and Henning Wachsmuth
- A Theoretical Analysis of Out-of-Distribution Detection in Multi-Label Classification
- Dell Zhang and Bilyana Taneva-Popova
- The Effectiveness of Quantum Random Walk Model in Recommender Systems
- Hiroshi Wayama and Kazunari Sugiyama
- Balanced Knowledge Distillation with Contrastive Learning for Document Re-ranking
- Yingrui Yang, Shanxiu He, Yifan Qiao, Wentai Xie and Tao Yang
- Causal Learning for Simpson’s Paradox Mitigation in Recommendation
- Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen and Yongfeng Zhang
- An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems
- Shuyi Wang and Guido Zuccon
- Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models
- Guido Zuccon, Harrisen Scells and Shengyao Zhuang
- Zero-shot Query Reformulation for Conversational Search
- Dayu Yang, Yue Zhang and Hui Fang
- A is for Adele: An Offline Evaluation Metric for Instant Search
- Negar Arabzadeh, Oleksandra Kmet, Ben Carterette, Charles Clarke, Claudia Hauff and Praveen Chandar
- Clarifying Questions in Math Information Retrieval
- Behrooz Mansouri and Zahra Jahedibashiz
- Hierarchical Transformer-based Query by Multiple Documents
- Zhiqi Huang, Shahrzad Naseri, Hamed Bonab, Sheikh Muhammad Sarwar and James Allan
- KALE: Using a K-Sparse Projector for Lexical Expansion
- Luís Borges, Bruno Martins and Jamie Callan
- Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking
- Fumian Chen and Hui Fang
- CSurF: Sparse Lexical Retrieval through Contextualized Surface Forms
- Zhen Fan, Luyu Gao and Jamie Callan
- Retrieving Webpages using Online Discussions
- Kevin Ros, Matthew Jin, Jacob Levine and Chengxiang Zhai
- Dense Retrieval Adaptation using Target Domain Description
- Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur, Srivas Prasad, Edgar Meij and Bruce Croft
- Exploring the Representation Power of SPLADE Models
- Joel Mackenzie, Shengyao Zhuang and Guido Zuccon
- Outcome-based Evaluation of Systematic Review Automation
- Wojciech Kusa, Guido Zuccon, Petr Knoth and Allan Hanbury
- Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
- Roger Zhe Li, Julián Urbano and Alan Hanjalic
- Automatic Hint Generation (HG)
- Adam Jatowt, Calvin Gehrer and Michael Färber
- Conversational Search with Random Walks over Entity Graphs
- Gustavo Gonçalves, Joao Magalhaes and Jamie Callan