All Stories

  1. AgentIR: 2nd Workshop on Agent-based Information Retrieval
  2. Generative Auto-Bidding with Value-Guided Explorations
  3. GAS: Generative Auto-bidding with Post-training Search
  4. AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
  5. Value Function Decomposition in Markov Recommendation Process
  6. DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
  7. Future Impact Decomposition in Request-level Recommendations
  8. Modeling User Retention through Generative Flow Networks
  9. AgentIR: 1st Workshop on Agent-based Information Retrieval
  10. Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
  11. M 3 oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  12. Multi-Task Recommendations with Reinforcement Learning
  13. Exploration and Regularization of the Latent Action Space in Recommendation
  14. Two-Stage Constrained Actor-Critic for Short Video Recommendation
  15. Reinforcing User Retention in a Billion Scale Short Video Recommender System