Trust-based recommendations for documents

Authors:
Claudia Hess;Christoph Schlieder
Affiliations:
-;Laboratory for Semantic Information Technology, University of Bamberg, 96045 Bamberg, Germany. E-mails: {claudia.hess, christoph.schlieder}@uni-bamberg.de
Venue:
AI Communications - Recommender Systems
Year:
2008

Citing 7
Cited 1

Authoritative sources in a hyperlinked environment

Journal of the ACM (JACM)
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Information Systems Frontiers
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Efficient calculation of personalized document rankings

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Enhancing the trust-based recommendation process with explicit distrust

ACM Transactions on the Web (TWEB)

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Abstract

Recommendation techniques that analyze social trust networks attracted much attention in the last few years. They recommend such items that are appreciated by trusted friends. In this paper, we explore how to use trust information for generating personalized document recommendations such as for scientific papers or for webpages. The basic idea is to jointly analyze a trust network between readers who review the documents and the reference network between the documents. We develop trust-enhanced visibility measures for measuring the quality and the importance of documents and evaluate them in simulation studies.