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Social Trust-aware Recommendation System: A T-Index Approach
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture (Closed 20120101), Software and Computer Systems, SCS (Closed 20120101).
KTH, School of Information and Communication Technology (ICT), Communication: Services and Infrastucture (Closed 20120101), Software and Computer Systems, SCS (Closed 20120101).ORCID iD: 0000-0002-4722-0823
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, Published paper (Refereed)
Abstract [en]

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.
Keyword [en]
Recommendation, Collaborative Filtering, Trust networks, Ontological modeling, Performance
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-29670ISI: 000279801400022Scopus ID: 2-s2.0-78449286196ISBN: 978-1-4244-5331-3 (print)OAI: oai:DiVA.org:kth-29670DiVA: diva2:398668
Conference
IEEE/WIC/ACM International Conferences on Web Intelligence (WI)/Intelligent Agent Technologies (IAT),
Note

QC 20110218

Available from: 2011-02-18 Created: 2011-02-11 Last updated: 2016-05-18Bibliographically approved

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Matskin, Mihhail

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Zarghami, AlirezaFazeli, SoudeDokoohaki, NimaMatskin, Mihhail
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Electronic, Computer and Software Systems, ECSSoftware and Computer Systems, SCS (Closed 20120101)
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