基于标签映射的移动终端用户个性信息挖掘

Personalized Information Mining of Mobile Terminal Users Based on Tag Mapping

以提高移动终端用户个性信息挖掘性能目的,提出基于标签映射的移动终端用户个性信息挖掘方法。通过所得用户个性信息标签构成标签集合,利用标签集合表征用户个性信息并构建用户个性信息标签库,通过出现频数比设定阈值高的标签建立模糊矩阵的特征维,结合相似度计算与特征映射思想计算每一特征维上的特征值,通过模糊聚类得到不同阈值下的用户个性信息聚类结果,实现移动终端用户个性信息挖掘。实验结果表明:上述方法具有较高的挖掘准确率与较好的挖掘可扩展性,移动终端用户个性信息数据挖掘性能较好。

A mobile terminal user personality information mining method based on label mapping is proposed to improve the mining performance of mobile terminal user personality information. The tag set consists of user personality information tags. The user’s personality information was represented by the tag set, thus constructing the user’s personality information tag database. According to the frequency ratio, the label with a high threshold was set for founding the characteristic dimension of the fuzzy matrix. The idea of similarity calculation and feature mapping was introduced to calculate the eigenvalues on each feature dimension. According to the results of fuzzy clustering, the clustering results of user personality information under different thresholds were obtained to realize mobile terminal user personality information mining. The experimental results show that this method has high mining accuracy, excellent mining scalability and excellent data mining performance of mobile terminal user personality information.