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New Technology of Library and Information Service  2009, Vol. 25 Issue (4): 64-69    DOI: 10.11925/infotech.1003-3513.2009.04.12
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The Personalized Product Recommendation Method Based on Weighted XML Model
Li Shuqing
(Department of Information ManagementCollege of Information EngineeringNanjing University of Finance &EconomicsNanjing 210046,China)
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Abstract  

This paper puts forward a new method for constitution of user preference model based on weighted XML data structure, with each node appends weight value for representing users’ personalized information.It also designs a new arithmetic to compare similarity of weighted XML model. Finally, this paper discusses the implementation of personalized product recommendation system based on this user preference model at detail.

Key wordsPersonalization      XML retrieval      Expression of user profiles      Information recommendation     
Received: 22 December 2008      Published: 25 April 2009
: 

TP391

 
Corresponding Authors: Li Shuqing     E-mail: leeshuqing@163.com
About author:: Li Shuqing

Cite this article:

Li Shuqing. The Personalized Product Recommendation Method Based on Weighted XML Model. New Technology of Library and Information Service, 2009, 25(4): 64-69.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2009.04.12     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2009/V25/I4/64

[1] Kobsa. Privacy-enhanced Web Personalization: From the Adaptive Web: Methods and Strategies of Web Personalization Volume 4321 of Lecture Notes in Computer Science[M]. Springer-Verlag, Berlin Heidelbergs, New York, 2007.
[2] Ting P L, Yung F Y, Deng N C. A Semantic-expansion Approach to Personalized Knowledge Recommendation[J]. Decision Support Systems, 2008,45(3):401-412.
[3] Gonzalez R A, Chen N, Dahanayake A. Personalized Information Retrieval and Access[M]. IGI Global, 2008.
[4] Henrik B S. Ontology-based Information Retrieval Computer Science Section[D]. Denmark: Roskilde University, 2006.
[5] Trajkova. Improving Ontology-Based User Profiles[D]. USA: University of Kansas, 2003.
[6] Sure Y, Staab S, Studer R. On-to-Knowledge Methodology (OTKM)[M]. Handbook on Ontologies, Berlin, Heidelberg, 2003: 117-132.
[7] Crestani. Application of Spreading Activation Techniques in Information Retrieval[J]. Artificial Intelligence Review, 1997, 11 (6):453-482.
[8] Middleton, De R, Shadbolt N: Ontology-based Recommender Systems[M]. Handbook on Ontologies. Berlin, Heidelberg, New York, 2004.
[9] 潘有能.XML文档自动聚类研究[J].情报学报,2006(4):215-220.
[10] 郑仕辉,周傲英,张龙.XML文档的相似测度和结构索引研究[J].计算机学报,2003,26(9):1116-1127.

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[8] Liu Dan. Design and Implementation of Chinese Thesis Retrieval System Based on XML[J]. 现代图书情报技术, 2010, 26(5): 50-57.
[9] Liu Dan,Kong Shao-Hua,Lu Wei. Research Review on XML Retrieval[J]. 现代图书情报技术, 2010, 26(4): 24-34.
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[14] Liu Song . Study of Personalized Recommendation System on Internet[J]. 现代图书情报技术, 2007, 2(4): 35-38.
[15] Jiang Ke,Lu Wei,Jiang Jiepu,Liu Dan. Theoretical and Comparative Study on XML Retrieval System[J]. 现代图书情报技术, 2007, 2(10): 66-70.
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