Tutorials

Robust Information Retrieval: Liu Yu-An*; Zhang Ruqing; Guo, Jiafeng; de Rijke Maarten

Building Trustworthy AI Models for Medicine: From Theory to Applications: Roy Soumyadeep*; S. Sundaram Sowmya; Wolff Dominik; Ganguly Niloy

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era: Dai Sunhao; Xu Chen; Xu Shicheng; Pang Liang*; Dong Zhenhua; Xu Jun

Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices: Huang Zheng*; Hao Hao; Du Lun

Query Performance Prediction: Theory, Techniques and Applications: Arabzadeh Negar*; Meng Chuan; Aliannejadi Mohammad; Bagheri Ebrahim

Tutorial on Recommendation with Generative Models (Gen-RecSys): Deldjoo Yashar*; He Zhankui; McAuley Julian; Korikov Anton; Sanner Scott; Ramisa Arnau; Vidal Rene; Sathiamoorthy Mahesh; Kasirzadeh Atoosa; Milano Silvia

Advances in Vector Search: Bruch Sebastian*

Paradigm Shifts in Team Recommendation: From Historical Subgraph Optimization to Emerging Graph Neural Network: Saeedi Mahdis; Wong Christine; Fani Hossein*

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective: Wang Zongwei; Yu Junliang; Chen Tong; Yin Hongzhi; Sadiq Shazia; Gao Min*