All Stories

  1. Leveraging User History with Transformers for News Clicking: The DArgk Approach
  2. Leveraging Monte Carlo Tree Search for Group Recommendation
  3. Fairness Matters: A look at LLM-generated group recommendations
  4. Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?
  5. Haven’t I just Listened to This?: Exploring Diversity in Music Recommendations
  6. Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model
  7. OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
  8. I Want to Break Free! Recommending Friends from Outside the Echo Chamber
  9. DebtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt
  10. Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
  11. Workshop on Online Misinformation- and Harm-Aware Recommender Systems
  12. Learning and adapting user criteria for recommending followees in social networks
  13. Exploring the role of personality traits in followee recommendation