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Micro-blog Real Time Personalized Recommendation based on Partial Indexing

Volume 13, Number 7, November 2017 - Paper 10  - pp. 1077-1086
DOI: 10.23940/ijpe.17.07.p10.10771086

Dun Li, Meng Wang, Lun Li, Zhiyun Zheng*

School of Information Engineering,Zhengzhou University,Zhengzhou, China

(Submitted on July 25, 2017; Revised on August 30, 2017; Accepted on September 15, 2017)


Micro-blog is a new social networking service platform and users are very concerned about real-time personalized information. However, the existing micro-blog platform does not fully consider the user's real-time personalized demands. The paper proposes a micro-blog real-time personalized recommendation model. We constructed partial index mechanism to maintain the latest release or update of micro-blog, and inferred the topic distribution of micro-blog and user interest vector based on the LDA model to meet the real-time personalized demands of users. Experimental results on real datasets show that the proposed method is real-time and effective.


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