The 2nd workshop on Multi-Objective Recommender Systems (MORS) will be held in Seattle, USA in conjunction with the 16th ACM Conference on Recommender Systems. The workshop, with the aim of the gathering researchers and industry experts to discuss the significance and complications of incorporating multiple objectives into the recommender systems, will take place between September 18th and 23rd (exact date to be announced).
Associate Professor Mehdi Elahi at the University of Bergen, and MediaFutures Work Package 2 leader is one of the organizers of the workshop, along with:
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Himan Abdollahpouri (Spotify, USA)
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Shaghayegh Sahebi (University at Albany, State University of New York, USA)
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Masoud Mansoury (University of Amsterdam, Netherlands)
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Babak Loni (ING group, Netherlands)
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Zahra Nazari (Spotify, USA)
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Maria Dimakopoulou (Spotify, USA)
The theme of this year’s workshop is Long-term Optimization in Recommender Systems. The organizers now invite submissions of papers on the following topics:
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Recommender systems with multiple objectives
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Balancing the long-term impacts of the recommendations and the users’ short-term preferences
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Reinforcement Learning for long-term optimization in recommender systems
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Feedback loops and the impact of recommendations in long term
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Value-aware recommendation (profit, value, purpose, etc.)
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The trade-off between relevance and bias in recommender systems
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Recommendation with multiple stakeholders
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Conflict handling in multi-stakeholder recommendation
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Fairness-aware recommender systems
You can read more about the workshop:
For updates regarding the workshop, follow @MORS 2022
More information about the 16th ACM Conference can be found here.
Picture: Steve Tulley/Alamy Stock Photo