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New Technology of Library and Information Service  2008, Vol. 24 Issue (11): 60-64    DOI: 10.11925/infotech.1003-3513.2008.11.12
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An Improved Item-based Collaborative Filtering Algorithm Based on Compound Weighted Rating
Ma Li
(Business College, China West Normal University, Nanchong 637002, China)
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Abstract  

In view of the problem that recommendation quality is seriously influenced by the sparsity of user ratings,an improved Item-based collaborative filtering algorithm based on compound weighted rating is proposed. The union of user rating items is used as the basis of similarity computing among items, moreover a compound weighted rating method is proposed to compute and complete the missing values in the union of user rating items for decreasing the sparsity. The experimental results show that the new algorithm can efficiently improve recommendation quality.

Key wordsDigital library      E-commerce      Item-based collaborative filtering      Compound weighted rating     
Received: 05 August 2008      Published: 25 November 2008
: 

TP311

 
Corresponding Authors: Ma Li     E-mail: cnmali@yahoo.cn
About author:: Ma Li

Cite this article:

Ma Li. An Improved Item-based Collaborative Filtering Algorithm Based on Compound Weighted Rating. New Technology of Library and Information Service, 2008, 24(11): 60-64.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2008.11.12     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2008/V24/I11/60

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