All Stories

  1. The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
  2. Large Language Model driven Policy Exploration for Recommender Systems
  3. Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity
  4. Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
  5. IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
  6. Enhancing Top-N Item Recommendations by Peer Collaboration
  7. Rethinking Reinforcement Learning for Recommendation
  8. Disentangling Preference Representations for Recommendation Critiquing with ß-VAE
  9. One Person, One Model, One World
  10. Self-Supervised Reinforcement Learning for Recommender Systems
  11. Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
  12. Deep Learning for Recommender Systems
  13. Question recommendation for collaborative question answering systems with RankSLDA
  14. Collaborative temporal order modeling
  15. Collaborative Preference Learning