Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
66-70,106

Research on similarity computation of Microblog users combining user interests

Huang Xianying
Yang Anzhi
Liu Xiaoyang
Liu Guangfeng
College of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0469

Abstract

The traditional method of calculating the similarity of the Microblog users based on the user's blog content and the number of common friends has the problem of excessive potential error, and the similarity calculation model based on the user's multi-source background information has high computational complexity and ignores the user's interest and other issues. this paper put forward a method to calculate the comprehensive similarity combining user's interest and background information(BIBS). The method extracted the user's interest from the user's tag. When the user's tag was missing, it indirectly obtained the user's interest by clustering the important user's in the user's attention network, and calculated the user's interest similarity. Then it calculated the background similarity of the user according to the background information such as the gender, age and location of the user, so that it hierarchically mined the most similar users. Experiments and analysis based on the data of Sina Microblog show that compared with MISUR algorithm based on the similarity of multi-source information, the proposed method can improve the accuracy, recall rate and F-measure by 8.1%, 16.7% and 13.6% respectively with less time consuming, which proves the effectiveness and accuracy of the BIBS method.

Foundation Support

重庆市教育委员会人文社会科学研究项目(17SKG144、18SKGH110)
国家教育部人文社科青年基金资助项目(16YJC860010)
国家社科基金资助项目(17XXW004)
2018年重庆市科委技术创新与应用示范项目(cstc2018jscx-msybX0049)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0469
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 66-70,106
Serial Number: 1001-3695(2020)01-014-0066-05

Publish History

[2020-01-05] Printed Article

Cite This Article

黄贤英, 阳安志, 刘小洋, 等. 融合兴趣的微博用户相似度计算研究 [J]. 计算机应用研究, 2020, 37 (1): 66-70,106. (Huang Xianying, Yang Anzhi, Liu Xiaoyang, et al. Research on similarity computation of Microblog users combining user interests [J]. Application Research of Computers, 2020, 37 (1): 66-70,106. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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