All Stories

  1. LLM-Powered User Simulator for Recommender System
  2. Modeling User Retention through Generative Flow Networks
  3. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
  4. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  5. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
  6. AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation
  7. Learning Empirical Bregman Divergence for Uncertain Distance Representation
  8. Multi-Task Recommendations with Reinforcement Learning