All Stories

  1. SM-RS 2.0: User-perceived Qualities of Single- and Multi-Objective Recommender Systems
  2. SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores
  3. User Perceptions of Diversity in Recommender Systems
  4. EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems
  5. Looks Can Be Deceiving: Linking User-Item Interactions and User’s Propensity Towards Multi-Objective Recommendations
  6. Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems
  7. The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems
  8. Long-term fairness for Group Recommender Systems with Large Groups
  9. Towards Results-level Proportionality for Multi-objective Recommender Systems
  10. Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation