• DOI:10.1145/3301275.3302306
Corpus ID: 67771256

Personalized explanations for hybrid recommender systems

@article{Kouki2019PersonalizedEF,
  title={Personalized explanations for hybrid recommender systems},
  author={Pigi Kouki and James Schaffer and J. Pujara and J. O'Donovan and L. Getoor},
  journal={Proceedings of the 24th International Conference on Intelligent User Interfaces},
  year={2019}
}

Pigi Kouki, James Schaffer, +2 authors L. Getoor

Published 2019

Computer Science

Proceedings of the 24th International Conference on Intelligent User Interfaces

Recommender systems have become pervasive on the web, shaping the way users see information and thus the decisions they make. [...] Key Method We experiment with 1) different explanation styles (e.g., user-based, item-based), 2) manipulating the number of explanation styles presented, and 3) manipulating the presentation format (e.g., textual vs. visual). We apply a mixed model statistical analysis to consider user personality traits as a control variable and demonstrate the usefulness of our approach in…Expand Abstract

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