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MoviExplain: a recommender system with explanations
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ACM Conference On Recommender Systems archive
Proceedings of the third ACM conference on Recommender systems table of contents
New York, New York, USA
SESSION: Short papers table of contents
Pages 317-320  
Year of Publication: 2009
ISBN:978-1-60558-435-5
Authors
Panagiotis Symeonidis  Aristotle University, Thessaloniki, Greece
Alexandros Nanopoulos  University of Hildesheim, Hildesheim, Germany
Yannis Manolopoulos  Aristotle University, Thessaloniki, Greece
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an effort to regain customer acceptance and trust. But their explanations are poor, because they are based solely on rating data, ignoring the content data. Our prototype system MoviExplain is a movie recommender system that provides both accurate and justifiable recommendations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bilgic, M. and Mooney, R.J. Explaining Recommendations: Satisfaction vs. Promotion. In Proceedings of the Recommender Systems Workshop (IUI Conference), 2005.
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