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.

• Periodical: Applied Mechanics and Materials (Volumes 571-572)
• Pages: 1157-1162
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.571-572.1157
• Online since: June 2014
• Authors: Wei Long Ye*, Bei Zhan Wang, Kang Chen, Kai Jie Guo
• Keywords: Microblog, Personalized Recommendation, User Interest Model

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