Extracting User Interest for User Recommendation Based on Folksonomy

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概要

• 論文の詳細を見る

• 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.

• 2011-06-01

著者

• Yukawa Takashi

  Department Of Electrical Engineering Nagaoka University Of Technology

• Saito Junki

  Department Of Electrical Engineering Nagaoka University Of Technology

関連論文

• A Collaborative Personal repository System and Its Information Retrieval Scheme(Special Issue on Text Processing for Information Access)
• Extracting User Interest for User Recommendation Based on Folksonomy

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