Explaining the user experience of recommender systems
University of California, Irvine · Eindhoven University of Technology · +2 more institutions
Abstract
Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of a recommender system, this paper proposes a framework that takes a user-centric approach to recommender system evaluation. The framework links objective system aspects to objective user behavior through a series of perceptual and evaluative constructs (called subjective system aspects and experience, respectively). Furthermore, it incorporates the influence of personal and situational characteristics on the user experience. This paper reviews how current literature maps to the framework and identifies several gaps in existing work. Consequently, the…
Citation impact
- FWCI
- 103.60
- Percentile
- 100%
- References
- 134
Authors
5Topics & keywords
- Recommender system
- Computer science
- Situational ethics
- Perception
- Preference
- Field (mathematics)
- Variety (cybernetics)
- Process (computing)