An Improved User Interest Model for Microblog Personalized Recommendation

Abstract

As a representative application of Web 2.0, microblog is now becoming one of the most popular social networks. There has been an increasing number of research about user interest in social networks. Based on these related works, an improved user interest model for microblog user recommendation is presented in this paper. By fetching user data, generating datasets, building user interest models and combining these models, a recommended user list is generated to help people find users they interested. Experimental results show the effectiveness of the combined model.