Social linkage and ranking model for tags-based resources
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Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
INDERSCIENCE
Abstract
With the proliferation of social media, it is becoming important to support a significant
amount of user tags in selecting the most appropriate resource description during the search
process. In this paper, we propose to identify and structure the links between resources by taking
into account a resource social dimension. Each resource is assigned to a cluster of tags hierarchy.
The clusters of tags are formed by a classification method while the hierarchical classification of
tags within clusters is defined using a hierarchy classification algorithm. User’s query is
expanded by a social dimension and the clusters of tags are used to facilitate the search
and ranking process. The results of our experiment, crawled from Delicious Folksonomy,
demonstrate significant improvement over traditional retrieval approaches.
Description
Keywords
Resource social linkage, Collaborative tagging, Social ranking;, Resource social context