Using Trust in Collaborative Filtering Recommendation
Lecture notes in computer sciencePublished 17 July 2007
Chein-Shung Hwang, Yu‐Pin Chen
Citations93
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
An improved mechanism to the standard CF techniques by incorporating trust into CF recommendation process is presented, which derives the trust score directly from the user rating data and exploits the trust propagation in the trust web.
Abstract
Collaborative filtering (CF) technique has been widely used in recommending items of interest to users based on social relationships. The notion of trust is emerging as an important facet of relationships in social networks. In this paper, we present an improved mechanism to the standard CF techniques by incorporating trust into CF recommendation process. We derive the trust score directly from the user rating data and exploit the trust propagation in the trust web. The overall performance of our trust-based recommender system is presented and favorably compared to other approaches.
Keywords
Computer Science
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