| 2025 | REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources. | Bjrn Engelmann, Fabian Haak, Philipp Schaer, Mani Erfanian Abdoust, Linus Netze, Meik Bittkowski |
| 2025 | Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval. | Yongkang Li, Panagiotis Eustratiadis, Simon Lupart, Evangelos Kanoulas |
| 2025 | Query Understanding in LLM-based Conversational Information Seeking. | Yifei Yuan, Zahra Abbasiantaeb, Mohammad Aliannejadi, Yang Deng |
| 2025 | ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. | Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin |
| 2025 | Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. | Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian |
| 2025 | From To-Do to Ta-Da: Transforming Task-Focused IR with Generative AI. | Chirag Shah, Ryen W. White |
| 2025 | Order-agnostic Identifier for Large Language Model-based Generative Recommendation. | Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua |
| 2025 | Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. | Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu |
| 2025 | Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. | David Otero, Javier Parapar, lvaro Barreiro |
| 2025 | ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions. | Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang |
| 2025 | CLIP-AdaM: Adapting Multi-view CLIP for Open-set 3D Object Retrieval. | Xinwei He, Liang Ma, Yuxuan Cheng, Zhichuan Wang, Yulong Wang, Yang Zhou, Xiang Bai |
| 2025 | Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations. | Zihan Ma, Minnan Luo, Yiran Hao, Zhi Zeng, Xiangzheng Kong, Jiahao Wang |
| 2025 | SIGIR 2025 Workshop on eCommerce (ECOM25): From Research to Product: Challenges, Lessons, and Opportunities in eCommerce Search and Recommendations. | Yubin Kim, Tracy Holloway King, Aditya Chichani, Pallavi Gudipati, Andrew Trotman |
| 2025 | Modeling Social Behavior in Collaborative Filtering. | Yihong Zhang, Takahiro Hara |
| 2025 | You Are What You Bought: Generating Customer Personas for E-commerce Applications. | Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao |
| 2025 | ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Maik Frbe, Tim Hagen, Franco Maria Nardini, Martin Potthast |
| 2025 | Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. | Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. | Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani |
| 2025 | Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. | Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua |
| 2025 | Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. | Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng |
| 2025 | GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation. | Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao |
| 2025 | STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. | Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao |
| 2025 | Linear Item-Item Models with Neural Knowledge for Session-based Recommendation. | Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee |
| 2025 | Reasoning and Retrieval for Complex Semi-structured Tables via Reinforced Relational Data Transformation. | Haoyu Dong, Yue Hu, Yanan Cao |
| 2025 | Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. | Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li |