2nd Workshop on Multi-Objective Recommender Systems

Recommender Systems are becoming an inherent part of today’s Internet. They can be found anywhere from e-commerce platforms (eBay, Amazon) to music or movie streaming (Spotify, Netflix), social media (Facebook, Instagram, TikTok), travel platforms (Booking.com, Expedia), and much more. Whether a recommendation is successful or not can rely on multiple objectives such as user satisfaction, fairness issues, business value, and even societal issues. In addition, the long-term happiness (along with short-term excitements and delight) of the users is critical for a recommender system to be considered successful. MORS workshop aims to gather researchers and practitioners to discuss the importance of these aspects of recommender systems and find ways to develop algorithms to build multi-objective recommenders and also evaluation metrics to assess their success.

  • Himan Abdollahpouri (Spotify, USA)
  • Shaghayegh Sahebi (University at Albany, State University of New York, USA)
  • Mehdi Elahi (University of Bergen, Norway)
  • Masoud Mansoury (University of Amsterdam, Netherlands)
  • Babak Loni (ING group, Netherlands)
  • Zahra Nazari (Spotify, USA)
  • Maria Dimakopoulou (Spotify, USA)



Half day.

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