All Stories

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