The Trust Value Calculating for Social Network Based on Machine Learning

被引:11
|
作者
Wang Yuji [1 ]
机构
[1] Cornell Univ, Coll Engn, Ithaca, NY 14850 USA
来源
2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2 | 2017年
关键词
trust value; machine learning; social network;
D O I
10.1109/IHMSC.2017.145
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a social network model is built for the social network information in the social network, and the machine learning method is used to calculate the node trust value. First, the results calculated by the traditional node trust value calculation method and some auxiliary information are used as the training feature of the machine learning, and the measurement whether there is edge between nodes as label information. Second, the node logistic regression model is used as the training model to calculate the node trust value. Then, recommendation algorithm which is analogous to the user collaborative filtering algorithm is used to calculate node trust value. At last, the simulation is used to verify the performance of the improved method, and the results show that the prediction accuracy of node trust value computing by improved algorithm is significantly higher than that of node trust value computing by formula.
引用
收藏
页码:133 / 136
页数:4
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