• DOI:10.1145/3109859.3109915
Corpus ID: 7802029

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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