Open AccessResearch on clustering method of government micro-blogging user group based on user preference
Author(s) -
Tianhao Guo,
Suozhu Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1634/1/012071
Subject(s) - microblogging , preference , government (linguistics) , cluster analysis , computer science , social media , user group , fuzzy clustering , cluster (spacecraft) , world wide web , fuzzy logic , data mining , information retrieval , artificial intelligence , mathematics , statistics , computer network , linguistics , philosophy
The goal of government micro-blogging is to provide the public with faster government services. Therefore, it is of great significance to study the characteristics of users and cluster analysis to provide personalized services and microblog operation management. A user preference measurement method based on the usage behavior data of users’ retweeting, commenting, and praising on the government micro-blogging platform is proposed and a user group fuzzy clustering method based on user preferences is given in this paper. An example is given to illustrate the effectiveness and feasibility of the method proposed in this paper.