
Sign up to save your podcasts
Or


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.
By Kyle Polich4.4
475475 ratings
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.

32,037 Listeners

30,710 Listeners

287 Listeners

1,111 Listeners

622 Listeners

583 Listeners

302 Listeners

345 Listeners

214 Listeners

197 Listeners

318 Listeners

97 Listeners

568 Listeners

101 Listeners

226 Listeners