Building a social network, based on collaborative tagging, to enhance social information retrieval
Web 2.0 technologies put user at the center of data production and introduce a strong social collaboration. Therefore, the techniques used in traditional information retrieval systems do not meet the requirements of users who want to take into account their social preferences. The idea reported in this paper is to include not only the social context of the user but also that of the resource. In the social network that we consider, the user social context brings his interests, which are captured from a collaborative tagging system, while the resource social context is related to clusters of tags, obtained by classification method, and users’ opinions according to their expertise level on the resource. The results of our experiment evaluation on real-world dataset (crawled from delicious folksonomy) demonstrate significant improvements over traditional retrieval approaches.
Social networks, Social information retrieval, Collaborative tagging
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