Extracting User Interest for User Recommendation Based on Folksonomy

Junki SAITO  Takashi YUKAWA  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.6   pp.1329-1332
Publication Date: 2011/06/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.1329
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Data Engineering, Web Information Systems
user profiling,  folksonomy,  social bookmarking,  SNS,  Twitter,  

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In the present paper, a method for extracting user interest by constructing a hierarchy of words from social bookmarking (SBM) tags and emphasizing nouns based on the hierarchical structure (folksonomy) is proposed. Co-occurrence of the SBM tags basically have a semantic relationship. As a result of an experimental evaluation using the user profiles on Twitter, the authors discovered that the SBM tags and their word hierarchy have a rich vocabulary for extracting user interest.