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Tag Clustering with Self Organizing Maps
HPL-2009-338 Tag Clustering with Self Organizing Maps - Sbodio, Marco Luca; Simpson, Edwin
Keyword(s): SOM, clustering, machine learning, folksonomy, tagging, web 2.0 Abstract: Today, user-generated tags are a common way of navigating and organizing collections of resources. However, their value is limited by a lack of explicit semantics and differing use of tags between users. Clustering techniques that find groups of related tags could help to address these problems. In ... Full Report More... |
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