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Mechanizing Social ...
Mechanizing Social Trust-Aware Recommenders with T-Index Augmented Trustworthiness
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- Fazeli, Soude (author)
- KTH,Programvaru- och datorsystem, SCS
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- Zarghami, Alireza (author)
- KTH,Programvaru- och datorsystem, SCS
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- Dokoohaki, Nima (author)
- KTH,Programvaru- och datorsystem, SCS
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- Matskin, Mihhail (author)
- KTH,Programvaru- och datorsystem, SCS
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2010
- 2010
- English.
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In: TRUST, PRIVACY AND SECURITY IN DIGITAL BUSINESS. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783642151514 ; , s. 202-213
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Social Networks
- Social Trust
- Recommendation
- Collaborative Filtering
- Trust networks
- Ontological modeling
- Performance
- Computer science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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