All Stories

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