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Rlin Franklinstr. 28/29, 10587 Berlin, Germany henri,oby cs.tu-berlin.de http://ni.cs.tu-berlin.de Abstract. Textual contents associated to resources are considered as sources of candidate tags to improve the performance of tag recommenders in social tagging systems. In this paper, we propose a twolevel learning hierarchy of a concept based keyword extraction method to filter the candidate tags and rank them based on their occurrences in concepts existing in the given resources. Incorporating.
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