Sim Trust: A New Method of Trust Network Generation

dc.contributor.author	Bhuiyan, Touhid
dc.contributor.author	Xu, Yue
dc.contributor.author	Josang, Audun
dc.date.accessioned	2018-09-12T07:06:11Z
dc.date.accessioned	2019-05-27T09:59:31Z
dc.date.available	2018-09-12T07:06:11Z
dc.date.available	2019-05-27T09:59:31Z
dc.date.issued	2011-04-27
dc.identifier.uri	http://hdl.handle.net/20.500.11948/3185
dc.description.abstract	Trust can be used for neighbor formation to generate automated recommendations. User assigned explicit rating data can be used for this purpose. However, the explicit rating data is not always available. In this paper we present a new method of generating trust network based on user’s interest similarity. To identify the interest similarity, we use user’s personalized tag information. This trust network can be used to find the neighbors to make automated recommendation. Our experiment result shows that the precision of the proposed method outperforms the traditional collaborative filtering approach. Full Text Link: https://eprints.qut.edu.au/41443/1/SimTrust.pdf	en_US
dc.language.iso	en	en_US
dc.publisher	Eprints	en_US
dc.subject	SimTrust	en_US
dc.subject	trust network generation	en_US
dc.title	Sim Trust: A New Method of Trust Network Generation	en_US
dc.type	Article	en_US