EARL is scheduled on September 26 (GMT+2), at Prague, Czech Republic | |
13:30 - 13:40 | Welcome note - Award Announcement |
13:40 - 14:30 |
Invited Talk 1: LLMs for Next-Generation Recommender Systems: From Understanding User Behavior to Deployment
Speaker: Wei-Wei Du (Sony Group Corporation), Tommaso Carraro (Sony Research India)
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14:30 - 14:50 |
AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation
Presenters: Enrico Palumbo, Gustavo Penha, Alva Liu, Marcus Eltscheminov, Jefferson Carvalho dos Santos, Alice Wang, Hugues Bouchard, Humberto Corona and Michelle Tran Luu
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14:50 - 15:10 |
Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
Presenters: Alexandre Andre, Gauthier Roy, Eva Dyer and Kai Wang
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15:10 - 15:30 |
ScientiaRec: a Scientific Article Recommendation System with LLM-Driven Feature Extraction
Presenters: Imen Ben Sassi
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15:30 - 16:00 | Coffee break |
16:00 - 16:40 |
Invited Talk 2: Agentic Marketplace: The next era of recommendation system
Speaker: Wenyue Hua (Microsoft Research)
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16:40 - 17:00 |
LLM-as-Judge: Rapid Evaluation of Legal Document Recommendation via Retrieval-Augmented Generation
Presenters: Anu Pradhan, Alexandra Ortan, Apurv Verma and Madhavan Seshadri
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17:00 - 17:20 |
LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
Presenters: Han Wang, Alex Whitworth, Pak Ming Cheung, Zhenjie Zhang and Krishna Kamath
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17:20 - 17:40 |
A Metric for MLLM Alignment in Large-scale Recommendation
Presenters: Yubin Zhang, Yanhua Huang, Haiming Xu, Mingliang Qi, Chang Wang, Jiarui Jin, Xiangyuan Ren, Xiaodan Wang and Ruiwen Xu
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