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Social Trust-aware ...
Social Trust-aware Recommendation System : A T-Index Approach
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- Zarghami, Alireza (författare)
- KTH,Elektronik- och datorsystem, ECS
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- Fazeli, Soude (författare)
- KTH,Elektronik- och datorsystem, ECS
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- Dokoohaki, Nima (författare)
- KTH,Programvaru- och datorsystem, SCS
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- Matskin, Mihhail, 1956- (författare)
- KTH,Programvaru- och datorsystem, SCS
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(creator_code:org_t)
- LOS ALAMITOS : IEEE COMPUTER SOC, 2009
- 2009
- Engelska.
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Ingår i: 2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 3. - LOS ALAMITOS : IEEE COMPUTER SOC. - 9781424453313 ; , s. 85-90
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Recommendation
- Collaborative Filtering
- Trust networks
- Ontological modeling
- Performance
- Computer science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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