Extracting User Interest for User Recommendation Based on Folksonomy

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...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2011/06/01, Vol.E94.D(6), pp.1329-1332
Hauptverfasser:	SAITO, Junki, YUKAWA, Takashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Cobalt Computer science control theory systems Construction Exact sciences and technology folksonomy Hierarchies Information systems. Data bases Information theory Information, signal and communications theory Memory organisation. Data processing Semantics SNS social bookmarking Software Tags Telecommunications and information theory Twitter user profiling
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Zusammenfassung:	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.
ISSN:	0916-8532 1745-1361 1745-1361
DOI:	10.1587/transinf.E94.D.1329