All Stories

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