计算机技术与发展2016，Vol.26Issue(12)：22-25,4.DOI:10.3969/j.issn.1673-629X.2016.12.005
基于复杂网络及神经网络挖掘用户兴趣的方法
Method of Mining User Interest Based on Complex Network and Neural Network
摘要
Abstract
Providing personalized service according to the user’ s interest is the most effective solution to improve the commercial value. Aiming at the problem of mining user’ s interest method from user behavior,a method of constructing complex network based on time se-ries and neural network clustering is proposed,which is based on the user’ s software. In the calculation of user interest in software,the u-sing time and adjacent nodes are considered including node degree,betweenness and clustering coefficient to determine the node impor-tance for mining user for the degree of interest for the software,forming of interest community. Then the neural network is used to cluster the software in the user interest community. The experiments show that this method can be more accurate than other methods to mine the user’ s interest,and the accuracy rate and recall rate of the algorithm is improved.关键词
用户行为/兴趣挖掘/复杂网络/word2vecKey words
user behavior/interest mining/complex network/word2vec分类
信息技术与安全科学引用本文复制引用
张兴兰,刘炀..基于复杂网络及神经网络挖掘用户兴趣的方法[J].计算机技术与发展,2016,26(12):22-25,4.基金项目
北京市教育科研项目(PXM2015014204500251) （PXM2015014204500251）
