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Session 1C: Learning methods for recommendation

First presentation

Chair: Yongli Ren

Start: 2021-11-02 10:40

End: 2021-11-02 11:50

Second presentation


Start: 2021-11-02 22:40

End: 2021-11-02 23:50

Papers in this session

rgfp0208 Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems
rgfp0198 Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
rgfp0920 Generative Inverse Deep Reinforcement Learning for Online Recommendation
rgfp0189 Counterfactual Review-based Recommendation
rgfp0188 Top-N Recommendation with Counterfactual User Preference Simulation
afp1888 Self-supervised Learning for Large-scale Item Recommendations
afp0864 Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation
rgfp0448 CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
rgfp0744 Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations
rgfp1936 Cross-Market Product Recommendation
  • Papers highlighted in green indicate the paper is selected for a live spotlight presentation.
  • Papers highlighted in gold indicate the paper has been shortlisted for a best paper award (and will also be presented live).
This programme is indicative. Once registered, please refer to the session programme on Underline.