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2009
ACM

FeedbackTrust: using feedback effects in trust-based recommendation systems

9 years 3 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on the ratings of trusted users in the network. In this paper, we introduce a two dimensional trust model which dynamically gets updated based on users’s feedbacks, in contrast to static trust values in current trust models. Explorability measures the extent to which a user can rely on recommendations returned by the social network of a trusted user. Dependability represents the extent to which a user’s own ratings can be trusted by users trusting him directly and indirectly. We propose a method to learn the values of explorability and dependability from raw trust data and feedback expressed by users on the recommendations they receive. Positive feedback will increase the trust and negative feedback will decrease the trust among users. We performed an evaluation on the Epinions dataset, demonstrating that exp...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where RECSYS
Authors Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi
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