Analysis Method of APP User Behavior Based on Convolutional Neural Network

Abstract

With the rapid development of mobile Internet,smart terminal has become an indispensable part of people’s daily life and work.In the process of using smart terminal,a large number of APP operation process records will be generated.By analyzing the user’s APP operation process records,the user’s behaviors in the operation process and the user’s behavior pattern can be obtained,which can help developers maintain and improve the APP software.Existing user behavior analysis is biased towards operation analysis and thebehaviors extraction for user’s operation is lacked.An APP user behaviors analysis method based on convolution neural network is proposed.At first,the APP operations are analyzed,and the user operations in the original APP operation record information are extracted.Then the correlation between APP operation and user’s behaviors is mined,and the similarity matrix between APP operations and APP user’s behaviors is constructed.Finally,the behaviors of users will be extracted.Experiments show that this method can extract and identify the user’s behaviors in the records of APP operationprocess effectively,which will be helpful to explore the deep meaning of user’s behaviors.

Keywords

• app software|operation process record of user app|app user behavior|operation analysis|convolutional neural network