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A Enhanced Trust Model Based on Social Network and Online Behavior Analysis for Recommendation

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2 Author(s)
Xue Yu ; Dept. of Inf. Manage. & Inf. Syst., Tianjin Univ., Tianjin, China ; Zan Wang

The growth of social network applications makes it possible to incorporate relationship information to reason about trust value as many researchers have done with the trust-aware recommendation systems. But without explicit trust rating, inferring trust relationship among users become hard to accomplish. The contribution of this paper includes: 1) constructs user-oriented trust network based on small-worldness property; 2) enhances trust metric with considering social influence of the middle connectors and incorporates users potential relationship estimated from users' interactions frequency; 3) generate a compound weight to re-calculate similarity matrix combined with users social trust relationship.

Published in:

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Date of Conference:

10-12 Dec. 2010

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