Personalized explanations for hybrid recommender systems

  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},
  • 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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