A Summary of User Profile Research Based on Clustering Algorithm

Lizhi Peng (), Yangping Du (), Shuihai Dou (), Ta Na (), Xianyang Su () and Ye Liu ()
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Lizhi Peng: Beijing Institute of Graphic Communication
Yangping Du: Beijing Institute of Graphic Communication
Shuihai Dou: Beijing Institute of Graphic Communication
Ta Na: Beijing Institute of Graphic Communication
Xianyang Su: Beijing Institute of Graphic Communication
Ye Liu: Beijing Institute of Graphic Communication

A chapter in LISS 2021, 2022, pp 758-769 from Springer

Abstract: Abstract Clustering algorithm is applicable to calculate and analyze the potential characteristics of users’ data. The results of clustering can analyze the features of user profile, digitize them and construct a new user profile, which is an important basis for achieving accurate marketing and service to users and improving the experience of users in various fields at present. The article mainly provides an overview of the definition of user profile and classical clustering algorithms, summarizes the application of clustering algorithms in user profile, sorts out the advantages and disadvantages of the algorithm in the application, and puts forward some current problems of clustering algorithms applied to user profile, and prospects the future research directions. The relevant review in this paper can provide help for the subsequent research, which is related to user profile based on clustering algorithm.

Keywords: User profile; Clustering algorithm; Algorithm comparison (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-981-16-8656-6_67

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