Proceedings of the 10th international conference on Intelligent user interfaces
Gossip-based aggregation in large dynamic networks
ACM Transactions on Computer Systems (TOCS)
Computing and applying trust in web-based social networks
Computing and applying trust in web-based social networks
Improving collaborative filtering with trust-based metrics
Proceedings of the 2006 ACM symposium on Applied computing
UBICOMM '07 Proceedings of the International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Social Trust-Aware Recommendation System: A T-Index Approach
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Achieving optimal privacy in trust-aware social recommender systems
SocInfo'10 Proceedings of the Second international conference on Social informatics
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Social Networks have dominated growth and popularity of the Web to an extent which has never been witnessed before. Such popularity puts forward issue of trust to the participants of Social Networks. Collaborative Filtering Recommenders have been among many systems which have begun taking full advantage of Social Trust phenomena for generating more accurate predictions. For analyzing the evolution of constructed networks of trust, we utilize Collaborative Filtering enhanced with T-index as an estimate of a user's trustworthiness to identify and select neighbors in an effective manner. Our empirical evaluation demonstrates how T-index improves the Trust Network structure by generating connections to more trustworthy users. We also show that exploiting T-index results in better prediction accuracy and coverage of recommendations collected along few edges that connect users on a network.