Social network matching model using dynamic Bayesian network
基于动态贝叶斯网络的社交圈归属匹配模型

In order to help a new client in the social network finding the best matching circle of social communication for itself, the Dynamic Bayesian Network (DBN) theory was introduced. The group set up by several hobbies' degrees was described as the eigenvector of the circle's property and DBNs with auxiliary information were set up for each circle using this eigenvector. The best matching result is the DBNs maximal output. Objective and subjective experiments show that this model can achieve satisfactory result for the matching task.