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New Technology of Library and Information Service  2010, Vol. 26 Issue (3): 47-51    DOI: 10.11925/infotech.1003-3513.2010.03.08
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Explore Network Resource Topics from Social Annotations System Based on PLSA
Wang Song   Dai Yisheng   Li Baozhen
(Economic & Management School, Jiangsu University of Science and Technology, Zhenjiang 212003,China)
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Abstract  

Due to the random of mass tagging user-generated tags and non-regularity of confusion arising from the label, this paper introduces the Probabilistic Latent Semantic Analysis (PLSA) algorithm for latent semantic indexing analysis,gets the label set of specific resources under the theme and provides an effective approach for the network information organization and the user’s access. By taking the user annotation information through Delicious site,the paper substantiates that the PLSA approach can achieve a good result for the subjects of particular resources.

Key wordsSocial tagging      Probabilistic latent semantic analysis      Semantic tags      Resource topics     
Received: 01 February 2010      Published: 25 March 2010
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G232

 
Corresponding Authors: Wang Song     E-mail: wshappy888@126.com
About author:: Wang Song,Dai Yisheng,Li Baozhen

Cite this article:

Wang Song,Dai Yisheng,Li Baozhen. Explore Network Resource Topics from Social Annotations System Based on PLSA. New Technology of Library and Information Service, 2010, 26(3): 47-51.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.03.08     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I3/47

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