All Stories

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