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DEXA
2011
Springer

A Scalable Tag-Based Recommender System for New Users of the Social Web

9 years 2 months ago
A Scalable Tag-Based Recommender System for New Users of the Social Web
Abstract. Folksonomies have become a powerful tool to describe, discover, search, and navigate online resources (e.g., pictures, videos, blogs) on the Social Web. Unlike taxonomies and ontologies, which overimpose a hierarchical categorisation of content, folksonomies empower end users, by enabling them to freely create and choose the categories (in this case, tags) that best describe a piece of information. However, the freedom afforded to users comes at a cost: as tags are informally defined and ungoverned, the retrieval of information becomes more challenging. In this paper, we propose Clustered Social Ranking (CSR), a novel search and recommendation technique specifically developed to support new users of Web 2.0 websites finding content of interest. The observation underpinning CSR is that the vast majority of content on Web 2.0 websites is created by a small proportion of users (leaders), while the others (followers) mainly browse such content. CSR first identifies who the ...
Valentina Zanardi, Licia Capra
Added 18 Dec 2011
Updated 18 Dec 2011
Type Journal
Year 2011
Where DEXA
Authors Valentina Zanardi, Licia Capra
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