All Stories

  1. Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
  2. Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
  3. Neighborhood-Based Collaborative Filtering for Conversational Recommendation
  4. Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
  5. Accurate Node Feature Estimation with Structured Variational Graph Autoencoder