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A Fast Effective Multi-Channeled Tag Recommender
2009
European Conference on Principles of Data Mining and Knowledge Discovery
Collaborative tagging applications allow users to annotate online resources, resulting in a complex three dimensional network of interrelated users, resources and tags often called a folksonom A pivotal challenge of these systems remains the inclusion of the varied information channels introduced by the multi-dimensional folksonomy into recommendation techniques. In this paper we propose a composite tag recommender based upon popularity and collaborative filtering. These recommenders were
dblp:conf/pkdd/GemmellRSCM09
fatcat:actqmh6pkzgddkrscmjxcxt674