Enhancing the trust-based recommendation process with explicit distrust

Authors:
Patricia Victor;Nele Verbiest;Chris Cornelis;Martine De Cock
Affiliations:
Ghent University, Krijgslaan, Gent, Belgium;Ghent University, Krijgslaan, Gent, Belgium;Ghent University and University of Granada, Granada, Spain;Ghent University, Krijgslaan, Gent, Belgium
Venue:
ACM Transactions on the Web (TWEB)
Year:
2013

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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.