| 2024 | Fairness-Aware Exposure Allocation via Adaptive Reranking. | Thomas Jnich, Graham McDonald, Iadh Ounis |
| 2024 | MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation. | Andreea Iana, Goran Glavas, Heiko Paulheim |
| 2024 | Multi-Domain Sequential Recommendation via Domain Space Learning. | Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact. | Bart van den Hurk, Maarten de Rijke, Flora D. Salim |
| 2024 | Old IR Methods Meet RAG. | Oz Huly, Idan Pogrebinsky, David Carmel, Oren Kurland, Yoelle Maarek |
| 2024 | A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers. | Wenyu Huang, Andr Melo, Jeff Z. Pan |
| 2024 | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2024 | Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. | Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier |
| 2024 | ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation. | Chaoqun Hou, Yuanhang Zhou, Yi Cao, Tong Liu |
| 2024 | Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. | Yu Hou, Jin-Duk Park, Won-Yong Shin |
| 2024 | RLStop: A Reinforcement Learning Stopping Method for TAR. | Reem Bin Hezam, Mark Stevenson |
| 2024 | LADy 💃: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation. | Farinam Hemmatizadeh, Christine Wong, Alice Yu, Hossein Fani |
| 2024 | Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. | Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li |
| 2024 | Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·Insights. | Scott A. Hale, Kiran Garimella, Shiri Dori-Hacohen |
| 2024 | Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. | Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, Maarten de Rijke |
| 2024 | SCM4SR: Structural Causal Model-based Data Augmentation for Robust Session-based Recommendation. | Muskan Gupta, Priyanka Gupta, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff |
| 2024 | Steering Large Language Models for Cross-lingual Information Retrieval. | Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang |
| 2024 | Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation. | Taolin Guo, Shunshun Peng, Zhejian Zhang, Mengmeng Yang, Kwok-Yan Lam |
| 2024 | Configurable Fairness for New Item Recommendation Considering Entry Time of Items. | Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang |
| 2024 | High Recall Retrieval Via Technology-Assisted Review. | Lenora Gray, David D. Lewis, Jeremy Pickens, Eugene Yang |
| 2024 | Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance. | Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis |
| 2024 | Graph Reasoning Enhanced Language Models for Text-to-SQL. | Zheng Gong, Ying Sun |
| 2024 | CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. | Peiyuan Gong, Jiamian Li, Jiaxin Mao |
| 2024 | A Predictive Framework for Query Reformulation. | Reyhaneh Goli |
| 2024 | Evaluating Generative Ad Hoc Information Retrieval. | Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Frbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast |