Recommender popularity controls: An observational study

F. Maxwell Harper

Research output: Contribution to journalConference articlepeer-review


We describe an observational study of a recommender system that provides users with direct control over their personalization. Specifically, we allow users to tune a movie recommender towards more or less popular content. We report on 14 months of usage, which includes 6,846 users who visited the interface at least once.We find, surprisingly, that the popularity of items a user has interacted with historically is a poor predictor of their use of this interface.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - Jan 1 2017
Event2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017 - Como, Italy
Duration: Aug 28 2017 → …


  • Observational study
  • Popularity
  • Recommender systems


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