Referenced Items are not available for this document.
Online reviews are widely used for purchase decisions. Their trustworthiness is limited, however, by fake reviews. Fortunately, opinions from friends in a social network are more reliable but less convenient to obtain. Combining the advantages purchase decisions of online reviews and opinions from friends can be achieved by enabling users to recognize the online reviews originating from their friends. By leveraging buyerspsila trust to nearby friends within their social network, it is possible to provide them in some cases with online reviews they can entirely trust. In this paper we present techniques to enable users to recognize the online reviews from their friends in a privacy-preserving manner. Our approach has many applications such as Internet auctions and online gaming.
Published in:
Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in
Date of Conference: 20-22 July 2009
- Page(s):
- 19 - 24
- Print ISBN:
- 978-0-7695-3689-7
- INSPEC Accession Number:
- 10895267
- Conference Location :
- Athens
- Digital Object Identifier :
- 10.1109/ASONAM.2009.8
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