All Stories

  1. Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation
  2. Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
  3. The Footprint of Factorization Models and Their Applications in Collaborative Filtering
  4. NEST
  5. How Collaborative Filtering Behaves When Groups of Users Suddenly Shift Preference?
  6. FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
  7. Translating Human Mobility Forecasting through Natural Language Generation
  8. Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
  9. G-CREWE: Graph CompREssion With Embedding for Network Alignment
  10. Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
  11. Metrics Disagreement in Recommender Systems Evaluation
  12. Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
  13. What Will You Do for the Rest of the Day?