DOI number:

10.12733/jcis8135

Affiliation of Author(s):

(1) Computer School, Wuhan University, Wuhan 430072, China; (2) Synopsys Inc., Wuhan 430079, China

Journal:

Journal of Computational Information Systems

Abstract:

To help Mirco blog users to get which they might interested most, we consider seven different features when user wandering on the Miroc blog site. Based on their mouse click behavior and use Analytic Hierarchy Process (AHP), we can get the highest ranking for different users, which can low the cost of user's searching time, and can give them the most convenience. According to experimental results, we draw a conclusion that, by combining multiple features, this automatic Micro blog ranking tool can help our users avoid the problems of one-sidedness and subjectivity, and it can also be upgraded in future work with more accuracy and stronger expansibility. © 2013 Binary Information Press.

Co-author:

Kai(1), Jun(1), Feng(1), Lin(1), Zhang,Yu, Wang, Gan, Yunlu(2), Shijun(1), Li, Wei(1)

Translation or Not:

no

Date of Publication:

2013-01-01