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Enhancing the trust-based recommendation process with explicit distrust

Patricia Victor (UGent) , Nele Verbiest (UGent) , Chris Cornelis (UGent) and Martine De Cock (UGent)
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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.
Keywords
Algorithms, recommender systems, Human Factors, Distrust, trust metrics, social networks, SOCIAL NETWORKS, MOVIE RECOMMENDATIONS, SYSTEMS, WEB

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Please use this url to cite or link to this publication:

Chicago
Victor, Patricia, Nele Verbiest, Chris Cornelis, and Martine De Cock. 2013. “Enhancing the Trust-based Recommendation Process with Explicit Distrust.” Acm Transactions on the Web 7 (2).
APA
Victor, P., Verbiest, N., Cornelis, C., & De Cock, M. (2013). Enhancing the trust-based recommendation process with explicit distrust. ACM TRANSACTIONS ON THE WEB, 7(2).
Vancouver
1.
Victor P, Verbiest N, Cornelis C, De Cock M. Enhancing the trust-based recommendation process with explicit distrust. ACM TRANSACTIONS ON THE WEB. 2013;7(2).
MLA
Victor, Patricia, Nele Verbiest, Chris Cornelis, et al. “Enhancing the Trust-based Recommendation Process with Explicit Distrust.” ACM TRANSACTIONS ON THE WEB 7.2 (2013): n. pag. Print.
@article{4123296,
  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.},
  articleno    = {6},
  author       = {Victor, Patricia and Verbiest, Nele and Cornelis, Chris and De Cock, Martine},
  issn         = {1559-1131},
  journal      = {ACM TRANSACTIONS ON THE WEB},
  keywords     = {Algorithms,recommender systems,Human Factors,Distrust,trust metrics,social networks,SOCIAL NETWORKS,MOVIE RECOMMENDATIONS,SYSTEMS,WEB},
  language     = {eng},
  number       = {2},
  pages        = {19},
  title        = {Enhancing the trust-based recommendation process with explicit distrust},
  url          = {http://dx.doi.org/10.1145/2460383.2460385},
  volume       = {7},
  year         = {2013},
}

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