In order to provide a reference for the classification of audiobook platform users,this paper constructs and extracts user tags according to the AISAS model firstly,and then designs and issues the questionnaires to collect data according to the extracted user tags.Secondly,RapidMiner data mining software is used to perform K-means clustering analysis to construct the classification of different user groups of the audiobook platform and perform descriptive analysis.Finally,five types of user groups are summarized,namely Class A active users,Class B social users,Class C silent users,Class D creative users,and Class E practical users.
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