Sciweavers

Share
COOPIS
2004
IEEE

Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure

9 years 7 days ago
Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure
Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant peers from which to receive personal product recommendations. However, common similarity-based neighborhood forming techniques imply various drawbacks, rendering the conception of decentralized recommender systems virtually impossible. We advocate trust metrics and trustdriven neighborhood formation as an appropriate surrogate, and outline various additional benefits of harnessing trust networks for recommendation generation purposes. Moreover, we present an implementation of one suchlike trust-based recommender and perform empirical analysis to underpin its fitness when coupled with an intelligent, content-based filter.
Cai-Nicolas Ziegler, Georg Lausen
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where COOPIS
Authors Cai-Nicolas Ziegler, Georg Lausen
Comments (0)
books