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Enhancing the trust-based recommendation process with explicit distrust

Published:29 May 2013Publication History
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Abstract

When a Web application with a built-in recommender offers a social networking component which enables its users to form a trust network, it can generate more personalized recommendations by combining user ratings with information from the trust network. These are the so-called trust-enhanced recommendation systems. While research on the incorporation of trust for recommendations is thriving, the potential of explicitly stated distrust remains almost unexplored. In this article, we introduce a distrust-enhanced recommendation algorithm which has its roots in Golbeck's trust-based weighted mean. Through experiments on a set of reviews from Epinions.com, we show that our new algorithm outperforms its standard trust-only counterpart with respect to accuracy, thereby demonstrating the positive effect that explicit distrust can have on trust-based recommendations.

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            cover image ACM Transactions on the Web
            ACM Transactions on the Web  Volume 7, Issue 2
            May 2013
            244 pages
            ISSN:1559-1131
            EISSN:1559-114X
            DOI:10.1145/2460383
            Issue’s Table of Contents

            Copyright © 2013 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 29 May 2013
            • Accepted: 1 December 2012
            • Revised: 1 November 2012
            • Received: 1 September 2010
            Published in tweb Volume 7, Issue 2

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