Analysis Method of APP User Behavior Based on Convolutional Neural Network
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 beha...
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial office of Computer Science
2022-08-01
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| Series: | Jisuanji kexue |
| Subjects: | |
| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-78.pdf |
| _version_ | 1797845140521353216 |
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| author | CHEN Yong-quan, JIANG Ying |
| author_facet | CHEN Yong-quan, JIANG Ying |
| author_sort | CHEN Yong-quan, JIANG Ying |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T17:35:04Z |
| format | Article |
| id | doaj.art-89d16cc6448b4b068346ca611eec2c44 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-04-09T17:35:04Z |
| publishDate | 2022-08-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-89d16cc6448b4b068346ca611eec2c442023-04-18T02:32:21ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2022-08-01498788510.11896/jsjkx.210700121Analysis Method of APP User Behavior Based on Convolutional Neural NetworkCHEN Yong-quan, JIANG Ying0Yunnan Key Lab of Computer Technology Application,Kunming 650500,China ;Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,ChinaWith 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.https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-78.pdfapp software|operation process record of user app|app user behavior|operation analysis|convolutional neural network |
| spellingShingle | CHEN Yong-quan, JIANG Ying Analysis Method of APP User Behavior Based on Convolutional Neural Network Jisuanji kexue app software|operation process record of user app|app user behavior|operation analysis|convolutional neural network |
| title | Analysis Method of APP User Behavior Based on Convolutional Neural Network |
| title_full | Analysis Method of APP User Behavior Based on Convolutional Neural Network |
| title_fullStr | Analysis Method of APP User Behavior Based on Convolutional Neural Network |
| title_full_unstemmed | Analysis Method of APP User Behavior Based on Convolutional Neural Network |
| title_short | Analysis Method of APP User Behavior Based on Convolutional Neural Network |
| title_sort | analysis method of app user behavior based on convolutional neural network |
| topic | app software|operation process record of user app|app user behavior|operation analysis|convolutional neural network |
| url | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-78.pdf |
| work_keys_str_mv | AT chenyongquanjiangying analysismethodofappuserbehaviorbasedonconvolutionalneuralnetwork |