Mechanizing Social Trust-Aware Recommenders with T-Index Augmented Trustworthiness
2010 (English)In: TRUST, PRIVACY AND SECURITY IN DIGITAL BUSINESS / [ed] Katsikas S; Lopez J; Soriano M, 2010, Vol. 6264, 202-213 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2010. Vol. 6264, 202-213 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 6264
Social Networks, Social Trust, Recommendation, Collaborative Filtering, Trust networks, Ontological modeling, Performance
IdentifiersURN: urn:nbn:se:kth:diva-31017ISI: 000285524700018ScopusID: 2-s2.0-78049360023ISBN: 978-3-642-15151-4OAI: oai:DiVA.org:kth-31017DiVA: diva2:402269
7th International Conference on Trust, Privacy and Security in Digital Business
QC 201103072011-03-072011-03-072013-02-19Bibliographically approved