Extracting User Interest for User Recommendation Based on Folksonomy

Junki SAITO; Takashi YUKAWA

doi:10.1587/transinf.E94.D.1329

Extracting User Interest for User Recommendation Based on Folksonomy

Junki SAITO, Takashi YUKAWA

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E94-D No.6 pp.1329-1332

Publication Date: 2011/06/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E94.D.1329

Type of Manuscript: LETTER

Category: Data Engineering, Web Information Systems

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Junki SAITO, Takashi YUKAWA, "Extracting User Interest for User Recommendation Based on Folksonomy" in IEICE TRANSACTIONS on Information, vol. E94-D, no. 6, pp. 1329-1332, June 2011, doi: 10.1587/transinf.E94.D.1329.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E94.D.1329/_p

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@ARTICLE{e94-d_6_1329,
author={Junki SAITO, Takashi YUKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Extracting User Interest for User Recommendation Based on Folksonomy},
year={2011},
volume={E94-D},
number={6},
pages={1329-1332},
abstract={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.},
keywords={},
doi={10.1587/transinf.E94.D.1329},
ISSN={1745-1361},
month={June},}

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TY - JOUR
TI - Extracting User Interest for User Recommendation Based on Folksonomy
T2 - IEICE TRANSACTIONS on Information
SP - 1329
EP - 1332
AU - Junki SAITO
AU - Takashi YUKAWA
PY - 2011
DO - 10.1587/transinf.E94.D.1329
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2011
AB - 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.
ER -