User Preferences for Hybrid Explanations

@article{Kouki2017UserPF,
  title={User Preferences for Hybrid Explanations},
  author={Pigi Kouki and James Schaffer and J. Pujara and J. O'Donovan and L. Getoor},
  journal={Proceedings of the Eleventh ACM Conference on Recommender Systems},
  year={2017}
}
  • Pigi Kouki, James Schaffer, +2 authors L. Getoor
  • Published 2017
  • Computer Science
  • Proceedings of the Eleventh ACM Conference on Recommender Systems
  • Hybrid recommender systems combine several different sources of information to generate recommendations. These systems demonstrate improved accuracy compared to single-source recommendation strategies. However, hybrid recommendation strategies are inherently more complex than those that use a single source of information, and thus the process of explaining recommendations to users becomes more challenging. In this paper we describe a hybrid recommender system built on a probabilistic… CONTINUE READING
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