About this episode
Anas Buhayh discusses fairness in recommender systems and the impact of niche algorithms on users.
Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions about filter bubbles and data privacy.
People in this episode
Host: Kyle Polich
Guest: Anas Buhayh
Topics covered
- recommender systems
- fairness
- niche algorithms
- filter bubbles
- data privacy
Keywords
- recommender systems
- multi-stakeholder fairness
- niche users
- utility
- filter bubbles
- data privacy
Mentioned in this episode
Organizations: S'mores framework
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