Optimal Correlation Prediction of User Behaviors Based on Mobile Social Environment

doi:10.13190/j.jbupt.2017-141

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (6): 50-56.doi: 10.13190/j.jbupt.2017-141

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Optimal Correlation Prediction of User Behaviors Based on Mobile Social Environment

ZHANG Hui^1,2,3, WANG Min¹

1. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2. National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
3. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China

Received:2017-07-11 Online:2017-12-28 Published:2017-12-28
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Abstract

Abstract: A multiple analysis and optimal prediction algorithm of user behaviors based on mobile social environment is proposed. First, for each social group of a target user, an optimization model based on representativeness degree is formulated to select the most representative correlated user from this social group for analyzing the service behaviors of target user caused by the corresponding social attribute; particularly, the representativeness degree consists of Kendall coefficient based similarity degree and interaction statistics based interaction degree. Second, by using Apriori theory, the correlation analyses for target user and its most representative correlated users are performed respectively, and then a least-square model based weighted fusion method is presented to integrate the above correlation analysis results optimally and predict user next behaviors accurately. Extensive simulation results verify the effectiveness of proposed algorithm.

Key words: mobile social environment, behavior analysis, behavior prediction, correlation analysis, least square model

CLC Number:

TP181

ZHANG Hui, WANG Min. Optimal Correlation Prediction of User Behaviors Based on Mobile Social Environment[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 50-56.

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Optimal Correlation Prediction of User Behaviors Based on Mobile Social Environment

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