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ITRUST
2004
Springer

Analyzing Correlation between Trust and User Similarity in Online Communities

10 years 13 days ago
Analyzing Correlation between Trust and User Similarity in Online Communities
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios supposing distributed data storage and decentralized control, like the Semantic Web, becomes largely limited for various reasons. We believe that computational trust models bear several favorable properties for social filtering, opening new opportunities by either replacing or supplementing current techniques. However, in order to provide meaningful results for recommender system applications, we expect notions of trust to clearly reflect user similarity. In this work, we therefore provide empirical results obtained from one real, operational community and verify latter hypothesis for the domain of book recommendations.
Cai-Nicolas Ziegler, Georg Lausen
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where ITRUST
Authors Cai-Nicolas Ziegler, Georg Lausen
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