Social Trust-aware Recommendation System: A T-Index Approach
2009 (English)In: 2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 3 / [ed] BaezaYates R; Berendt B; Bertino E; Lim EP; Pasi G, LOS ALAMITOS: IEEE COMPUTER SOC , 2009, 85-90 p.Conference paper (Refereed)
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability In this paper, we propose an ontological model of trust between users on a social network to address the limitations of similarity measure in Collaborative Filtering algorithms. For enhancing the constructed network of users based on trust, we introduce an estimate of a user's trustworthiness called T-index to identify and select neighbors in an effective manner We employ T-index to store raters of an item in a so-called TopTrustee list which provides information about users who might not be accessible within a predefined maximum path length. An empirical evaluation shows that our solution improves both prediction accuracy and coverage of recommendations collected along few edges that connect users on a social network by exploiting T-index. We also analyze effect of T-index on structure of trust network to justify the results.
Place, publisher, year, edition, pages
LOS ALAMITOS: IEEE COMPUTER SOC , 2009. 85-90 p.
Recommendation, Collaborative Filtering, Trust networks, Ontological modeling, Performance
IdentifiersURN: urn:nbn:se:kth:diva-29670ISI: 000279801400022ScopusID: 2-s2.0-78449286196ISBN: 978-1-4244-5331-3OAI: oai:DiVA.org:kth-29670DiVA: diva2:398668
IEEE/WIC/ACM International Conferences on Web Intelligence (WI)/Intelligent Agent Technologies (IAT),
QC 201102182011-02-182011-02-112016-05-18Bibliographically approved