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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)
(2013) ACM TRANSACTIONS ON THE WEB. 7(2).
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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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MLA
Victor, Patricia, et al. “Enhancing the Trust-Based Recommendation Process with Explicit Distrust.” ACM TRANSACTIONS ON THE WEB, vol. 7, no. 2, 2013, doi:10.1145/2460383.2460385.
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). https://doi.org/10.1145/2460383.2460385
Chicago author-date
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). https://doi.org/10.1145/2460383.2460385.
Chicago author-date (all authors)
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). doi:10.1145/2460383.2460385.
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).
IEEE
[1]
P. Victor, N. Verbiest, C. Cornelis, and M. De Cock, “Enhancing the trust-based recommendation process with explicit distrust,” ACM TRANSACTIONS ON THE WEB, vol. 7, no. 2, 2013.
@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://doi.org/10.1145/2460383.2460385}},
  volume       = {{7}},
  year         = {{2013}},
}
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