Automatic Tag Suggestion Based on Resource Contents
نویسندگان
چکیده
In this paper, we present an automatic tag suggester, Tess. Our system makes recommendations based only on the textual contents of the resource and is independent of existing tags, thus allowing the emergence of novel tags. Preliminary evaluation experiments show that the system is not only able to suggest many useful tags, but also to discover new and relevant tags, not suggested by any of the users.
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