All Stories

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