All Stories

  1. Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
  2. Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems
  3. Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation
  4. Dual-Adaptive Update Strategies Enhanced Meta-Optimization for User Cold-Start Recommendation
  5. Towards Effective and Consistent Information Extraction for Social Recommendation: A Minimum and Sufficiency Perspective
  6. MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
  7. Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation