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New Technology of Library and Information Service  2007, Vol. 2 Issue (10): 19-22    DOI: 10.11925/infotech.1003-3513.2007.10.05
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Study on Digital Library Collaborative Filtering Technology Based on Group Interest Trend Degree
Ma Li
(Business College, China West Normal University, Nanchong 637002, China)
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Abstract  

Collaborative filtering recommendation systems in digital library have faced the problem of sparse user ratings. To solve the problem, a computing method of group interest trend degree has been proposed and used into the prediction of vacant values in user-item matrix. The experimental results show that the algorithm can efficiently improve recommendation quality.
Key words： Collaborative filtering      Group interest trend degree      Mean absolute error     
Received: 27 August 2007      Published: 25 October 2007
: 

TP311

 		 
Corresponding Authors: Ma Li     E-mail: cwnu_mali@yahoo.com.cn
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Cite this article:

Ma Li. Study on Digital Library Collaborative Filtering Technology Based on Group Interest Trend Degree. New Technology of Library and Information Service, 2007, 2(10): 19-22.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.10.05     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I10/19

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