Personalized explanations for hybrid recommender systems-Reference-Cited by-同舟云学术

Personalized explanations for hybrid recommender systems

Published:2019-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th International Conference on Intelligent User Interfaces
language:
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Author:

Kouki Pigi¹,Schaffer James²,Pujara Jay³,O'Donovan John⁴,Getoor Lise¹

Affiliation:

1. UC Santa Cruz

2. Army Research Lab

3. University of Southern California

4. UC Santa Barbara

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3301275.3302306

Reference40 articles.

1. G. Adomavicius N. Manouselis and Y. Kwon. 2015. Multi-Criteria Recommender Systems. Recommender Systems Handbook Second Edition Springer US. G. Adomavicius N. Manouselis and Y. Kwon. 2015. Multi-Criteria Recommender Systems. Recommender Systems Handbook Second Edition Springer US.

2. I. Andjelkovic D. Parra and J. O'Donovan. 2019. Moodplay: interactive music recommendation based on artists' mood similarity. International Journal of Human-Computer Studies 121. I. Andjelkovic D. Parra and J. O'Donovan. 2019. Moodplay: interactive music recommendation based on artists' mood similarity. International Journal of Human-Computer Studies 121.

3. S. Bach M. Broecheler B. Huang and L. Getoor. 2017. Hinge-loss markov random fields and probabilistic soft logic. Journal of Machine Learning Research. (JMLR'17) 18 109. S. Bach M. Broecheler B. Huang and L. Getoor. 2017. Hinge-loss markov random fields and probabilistic soft logic. Journal of Machine Learning Research. (JMLR'17) 18 109.

4. Y. Benjamini and Y. Hochberg. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. (JRSS '95) 18 109. Y. Benjamini and Y. Hochberg. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. (JRSS '95) 18 109.

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