Article,

An Approach to Enrich Users' Personomy Using Semantic Recommendation of Tags

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Journal of the Brazilian Computer Society, (2012)
DOI: 10.1007/s13173-011-0055-1

Abstract

Tagging-based systems are a popular and convenient way to organize information on the Web. However, the free vocabulary used to categorize Web objects brings some disadvantages to this type of system, especially when users need to retrieve the tagged object. This paper presents an approach to semantics recommendation of tags for tagging-based systems that aims at improving the quality of the categorizations performed by the users. Our approach combines three different resources for recommending tags: the Web page been categorized, the tagging-based system folksonomy and the users personomy. By combining these resources, we seek to reduce the problems in the users vocabulary, recommending representative tags that may relieve the users cognitive effort when retrieving tagged objects.

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