All Stories

  1. STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
  2. Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
  3. Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
  4. IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation
  5. PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation
  6. Sequential Intention-aware Recommender based on User Interaction Graph