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| A Collaborative Filtering Algorithm Based on Users’Social Relationship Mining in Mobile Communication Network |
| Huang Wu-han Meng Xiang-wu Wang Li-cai |
(Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China)
(School of Computer, Beijing University of Posts and Telecommunications, Beijing 100876, China) |
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Abstract To solve the personalized information content and services recommended issues in mobile communication network, a collaborative filtering algorithm based on users’ social relationship mining in mobile communication network is proposed with the social network analysis method. It effectively mitigates data sparsely for preferred forecasting and recommendations by using the information of social networks obtained from predicting the potential relationship between social networks and the most similar set of users according to the degree of similar relationship between the users. The algorithm is proved more accurate and feasible in the experiments by using the public data sets and the simulated data sets.
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Received: 17 April 2011
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Corresponding Authors:
Huang Wu-han
E-mail: wuhan_05406@163.com
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2011, Vol. 33 
