All Stories

  1. PRISM: Personalized Recommendation via Information Synergy Module
  2. User Immersion-aware Short Video Recommendation
  3. CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation
  4. Large Language Models as Evaluators for Recommendation Explanations
  5. ReChorus2.0: A Modular and Task-Flexible Recommendation Library
  6. Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
  7. Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation
  8. Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
  9. Double Correction Framework for Denoising Recommendation
  10. Sequential Recommendation with Latent Relations based on Large Language Model
  11. Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
  12. EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation
  13. Intersectional Two-sided Fairness in Recommendation
  14. Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
  15. Understanding User Immersion in Online Short Video Interaction
  16. Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation
  17. Intent-aware Ranking Ensemble for Personalized Recommendation
  18. An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation
  19. A Review-aware Graph Contrastive Learning Framework for Recommendation
  20. ProFairRec
  21. Self-Supervised Cross Domain Social Recommendation
  22. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation
  23. A Neural Influence Diffusion Model for Social Recommendation
  24. Attentive Recurrent Social Recommendation