Construction of User Portrait Model of Online Health Community Based on K-MEANS

Authors

Qirui YUAN, Xiangtan University,Xiangtan 411105
Li ZHAO, School of Public Administration，Xiangtan University,Xiangtan 411105

Keywords

online health community; user portrait; empirical analysis; K-MEANS

Abstract

[Purpose/significance]Mining user data and constructing online health user portraits is conducive to in-depth understanding of user needs,improving user experience in online health communities,and promoting the development of online health communities.[Method/process]Combining with the current status of online health community construction,use the RFM model to screen typical users and construct online health community user portrait tags from fact,model,and prediction dimensions.Based on the questionnaire data,use K-MEANS cluster analysis to achieve the part empirical analysis of portraits.[Result/conclusion]Constructing online health community user portraits in a data-driven context can effectively achieve personalized retrieval and accurate push,which is conducive to enhancing user stickiness and assisting website promotion,and has important reference value for online health community platforms to improve accurate service levels.

First Page

95

Recommended Citation

YUAN, Qirui and ZHAO, Li (2021) "Construction of User Portrait Model of Online Health Community Based on K-MEANS," Scientific Information Research: Vol. 3: Iss. 4, Article 8.
Available at: https://eng.kjqbyj.com/journal/vol3/iss4/8

Reference

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