Research on Personalized Recommender System Adapting to Different Business

Research on Personalized Recommender System Adapting to Different Business

The rapid development of internet technology, especially the developed of Web 2.0 which has the main feature of personality, making a lot of information in front of people at the same time. The value of personalized recommendation technology has become increasingly prominent. A design of personalize...

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Bibliographic Details
Main Authors: Caixia Tao, Hai Yuan, Kang Chen, Anhua Ma
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-08-01
Series:Dianxin kexue
Subjects:
personalized recommender system
user interest analysis
entropy
interest drift
collaborative filtering
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.08.019/
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http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.08.019/

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