Microblogging User Tag Prediction Based on Bayesian

Abstract

In the social network, to users, the tag is an important basis to mark and classify the resource. The tag of microblogging users can be used for advertising and network marketing. This paper presents a method based on naive Bayesian to predict the user tag. We use the user's basic attributes and some popular public tags as the features in Bayesian to predict whether a public tag belongs to a user. The experimental results show that the proposed method can achieve 87% accuracy.