A Literature Review on Community Profiling

Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

Liu Leilei Wang Shengtao Hu Zhengyin

Abstract： [Purpose/significance] Community profiling is important for solving the overload of social network information and helping to achieve personalized and deep knowledge services. This literature review presents the research status in community profiling, and analyzes the corresponding techniques, methods and applications, and aims to provide ideas for further research and application of community profiling.[Method/process] Based on the literature investigation, this paper reviews community profiling from three aspects:research content, techniques and methods, and application scenarios. Moreover, the key features and weaknesses of the discussed techniques and methods are presented and several key research fields for future research are highlighted.[Result/conclusion] It is found that the present research focuses on static user data, user similarity methods for profiling, and traditional applications such as recommended services and community discovery. At present, the research on community profiling is still in its infancy, and the data, techniques and methods need to be enriched. It should have good prospects and wide application in the future.

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