An ontology-based method for sparsity problem in tag recommendation
Djuana, Endang, Xu, Yue, Li, Yuefeng, Josang, Audun, & Cox, Clive (2013) An ontology-based method for sparsity problem in tag recommendation. In INSTICC ICEIS 2013 Conference Proceedings, SciTePress - Science and Technology Publications, ESEO, Angers Loire Valley, France.
Tags or personal metadata for annotating web resources have been widely adopted in Web 2.0 sites. However, as tags are freely chosen by users, the vocabularies are diverse, ambiguous and sometimes only meaningful to individuals. Tag recommenders may assist users during tagging process. Its objective is to suggest relevant tags to use as well as to help consolidating vocabulary in the systems. In this paper we discuss our approach for providing personalized tag recommendation by making use of existing domain ontology generated from folksonomy. Specifically we evaluated the approach in sparse situation. The evaluation shows that the proposed ontology-based method has improved the accuracy of tag recommendation in this situation.
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