All Stories

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