A model of web page classification using convolutional neural network (CNN): a tool to prevent internet addiction

• Main Authors: Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/36925/1/A%20model%20of%20web%20page%20classification%20using%20convolutional%20neural%20network%20%28CNN%29%20_%20A%20tool%20to%20prevent%20internet%20addiction.pdf; http://umpir.ump.edu.my/id/eprint/36925/; https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files

Game and Online Video Streaming are the most frequently visited web pages. Internet addiction may be negatively impacted by users who spend too much time on these types of web pages. Access to Game and Online Video Streaming web pages needs to be limited in order to combat the issue of internet addi...