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New Technology of Library and Information Service  2012, Vol. 28 Issue (5): 32-40    DOI: 10.11925/infotech.1003-3513.2012.05.05
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The Matching Algorithm of Heterogeneous User Personalized Profile Based on Centripetal Spreading Weighted XML Model
Li Shuqing, Liu Xiaoqian
College of Information Engineering, Nanjing University of Finance & Economics, Nanjing 210046, China
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Abstract  This paper introduces an automatic construction method for domain Ontology implemented by words co-occurrence analysis in both document and citation. This Ontology adopts weighted XML model and uses weight in concepts and their relationship to express the difference of users' interest effectively,which can improve the ability of expressing users' interest and their relationship with centripetal weight spreading activation strategy in order to explore more valuable users' interest. Meantime, this paper also discusses how to use this Ontology to transform heterogeneous user personalized profile to consistent comparable model with the broken-and-reconstruction strategy, and how to match corresponding heterogeneous user personalized profile in detail. Finally, the result of correlative tests and experiments are concluded.
Key wordsDomain Ontology      Weighted XML      Personalization      Words co-occurrence analysis     
Received: 24 April 2012      Published: 24 July 2012



Cite this article:

Li Shuqing, Liu Xiaoqian. The Matching Algorithm of Heterogeneous User Personalized Profile Based on Centripetal Spreading Weighted XML Model. New Technology of Library and Information Service, 2012, 28(5): 32-40.

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