User Modeling on Social Networks-Using User Tags and Weibo Content for User Modeling

User-generated content is of great significance for user modeling and user interest mining. This paper defines a microblog user model which combining weibo content and tags with vector space model(VSM) representation. The user model consists of two parts, one part, user interest representation based on weibo content: pretreatment, feature extraction, and then compute the characteristic value with TF-IDF method, after that, the user's weibo content is expressed by VSM; Another part, user interest representation based on user tags: feature extraction and word frequency method for computing the characteristic value and user tags are expressed by VSM. Finally, the resulting user model can be obtained by combining the two parts mentioned above.