Event Schedule
GenAI4SM 2026 @ WSDM
Opening
| Time | Event |
|---|---|
| 08:55 - 09:00 | Opening Remarks: Organizers |
Session 1: 09:00 - 10:30
| Time | Talk |
|---|---|
| 09:00 - 09:45 | Keynote. Shivam Verma / Spotify From Multi-Task Recommender Systems to Catalog-Grounded Personalization at Scale |
| 09:45 - 10:00 | Paper. Mahesh Jindal, Giuseppe Di Benedetto and Yannik Stein Why One Size Doesn't Fit All: Improving Music Discovery and Familiar Listening with Specialized Models (Amazon Music, Audible) |
| 10:00 - 10:15 | Paper. Kirandeep Kaur and Amit Goyal Cold-Start Audiobook Recommendation via Cross-Domain Sub-Tower Fusion (Amazon Music) |
| 10:15 - 10:30 | Paper. Sudheer Tubati and Amit Goyal SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection (Amazon Music) |
☕ Coffee Break: 10:30 - 11:00
Session 2: 11:00 - 12:45
| Time | Talk |
|---|---|
| 11:00 - 11:45 | Keynote. Thorsten Joachims / Cornell University Towards Steerable GenAI for Recommendation |
| 11:45 - 12:00 | Paper. Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das and Anushree Sinha Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity (Google) |
| 12:00 - 12:45 | Keynote. Harald Steck / Netflix On Collaborative Filtering for Conversational Recommender Systems |
🍽️ Lunch: 12:45 - 13:45
Session 3: 13:45 - 15:30
| Time | Talk |
|---|---|
| 13:45 - 14:30 | Keynote. 'YZ' Yezhou Yang / Arizona State University Towards Controllable and Explainable Visual GenAI for Creativity |
| 14:30 - 14:45 | Paper. Liping Zhang and Tracy King VTCR: Multimodal Visual–Text Cross-Attention Reranking for Streaming Media and Creative Content Discovery (Adobe) |
| 14:45 - 15:30 | Keynote. Qilin Qi / Prime Video Building Large-Scale Stream Prediction Models at Prime Video: Lessons from a Complex, High-Throughput Recommender System |
☕ Coffee Break: 15:30 - 16:00
Session 4: 16:00 - 17:30
| Time | Talk |
|---|---|
| 16:00 - 16:45 | Keynote. Amanpreet Kaur and Ajay Yadav / Google Quality at Scale: Engineering Evaluation Frameworks for Multi-Agent Systems |
| 16:45 - 17:00 | Paper. Ravi Gupta, Shiksha Patel, Nishant Singh and Ramya Kakarlapudi DiTRoute: Diffusion-Guided Adaptive Token Routing for Distributed Video-LLM Inference on Heterogeneous Streaming Edges (AMD, Micron) |
| 17:00 - 17:05 | Closing Remarks: Organizers |