A Fast Effective Multi-Channeled Tag Recommender

Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher
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
more » ... based on their speed, memory requirements and ability to cover complimentary channels of the folksonomy. Alone these recommenders perform poorly; together they achieve a synergy which proves to be as effective as state of the art tag recommenders.
dblp:conf/pkdd/GemmellRSCM09 fatcat:actqmh6pkzgddkrscmjxcxt674