Conference proceeding
Rating support interfaces to improve user experience and recommender accuracy
Proceedings of the 7th ACM conference on recommender systems, pp 149-156
12 Oct 2013
Abstract
One of the challenges for recommender systems is that users struggle to accurately map their internal preferences to external measures of quality such as ratings. We study two methods for supporting the mapping process: (i) reminding the user of characteristics of items by providing personalized tags and (ii) relating rating decisions to prior rating decisions using exemplars. In our study, we introduce interfaces that provide these methods of support. We also present a set of methodologies to evaluate the efficacy of the new interfaces via a user experiment. Our results suggest that presenting exemplars during the rating process helps users rate more consistently, and increases the quality of the data.
Metrics
15 Record Views
43 citations in Scopus
Details
- Title
- Rating support interfaces to improve user experience and recommender accuracy
- Creators
- Tien Nguyen - University of MinnesotaDaniel Kluver - University of MinnesotaTing-Yu Wang - University of MinnesotaPik-Mai Hui - University of MinnesotaMichael Ekstrand - University of MinnesotaMartijn Willemsen - Eindhoven University of TechnologyJohn Riedl - University of Minnesota
- Publication Details
- Proceedings of the 7th ACM conference on recommender systems, pp 149-156
- Series
- RecSys '13
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84887571088
- Other Identifier
- 991021818386804721