08:30 - 08:40 Opening

08:40 - 09:25 Keynote: Yupeng Hou (Google Deep Mind)
Title: Building Semantic IDs with Multimodal Priors for Generative Recommendation
Session chair: TBD

09:25 - 09:50 Invited Talk: Guillaume Salha-Galvan (Shanghai Jiao Tong University)
Title: Multimodal LLMs in Action: Addressing Cold-Start Recommendation at Xiaohongshu, a Leading Chinese Social Media Platform
Session chair: TBD

09:50 - 10:00 Paper Session 1
🔹 J. Huang, V. Singh, L. Wang, D. Boyd, D. Tsiaousi. VLM-Based Continuous Training-Data Moderation for Multimodal Notification Recommendation
Session chair: TBD

10:00 - 10:30 Coffee Break

10:30 - 11:15 Keynote: Enrico Palumbo (Spotify)
Title: The Centrality of Data in LLM-Based Recommendation: Generation, Representation, and Evaluation
Session chair: TBD

11:15 - 11:55 Paper Session 2
🔹 S. Jha, Z. Zhao, P. Wang, M. Teague, A. Zhang, D. Mortensen. When Fusion Forgets: Diagnosing and Repairing Branch-Preservation Failures in Multimodal Recommendation
🔹 Z. Wang, W. Höpken, D. Jannach. LUMIR: Decoupled Multimodal Representation Learning from Heterogeneous Data for Next-POI Recommendation
🔹 K. Dheer. Beyond Textual Semantics: CLIP-Aligned Multimodal Representations for LLM-Based Recommendation
🔹 M. Moscati, J. M. Lichtenberg, D. Abbattista, A. De Candia, L. Boggia, M. Ruffini. SwapRec: Warming Up Cold Items Through Training-Time Similar-Content Swaps
Session chair: TBD

11:55 - 12:00 Closing