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 language||English (US)|
|Journal||CEUR Workshop Proceedings|
|State||Published - Jan 1 2017|
|Event||2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017 - Como, Italy|
Duration: Aug 28 2017 → …
- Observational study
- Recommender systems