All Stories

  1. The Taming of the Bias: Measuring and Mitigating Category-Aware Gender Bias in Recommendations
  2. Exploring the Influence of Lifestyle, Social Health, and Demographic Factors on Psychological Well-being and Engagement Levels
  3. MissDDIM: Deterministic and Efficient Conditional Diffusion for Tabular Data Imputation
  4. Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
  5. Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification
  6. User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation
  7. A Mask-based Output Layer for Multi-level Hierarchical Classification
  8. Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification
  9. A User-Centric Analysis of Social Media for Stock Market Prediction
  10. Mitigating the Filter Bubble While Maintaining Relevance
  11. A Workflow Analysis of Context-driven Conversational Recommendation
  12. LAICOS
  13. Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection