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Research on the Design of a Deep Learning-Based Automatic Web Page Generation System

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(2), pp.21-30
  • DOI : 10.9708/jksci.2024.29.02.021
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 9, 2024
  • Accepted : February 5, 2024
  • Published : February 29, 2024

Jung-Hwan Kim 1 Young-beom Ko 1 Jihoon Choi 1 LEE, HAN JIN 2

1고려대학교 디지털경영학
2한동대학교

Accredited

ABSTRACT

This research aims to design a system capable of generating real web pages based on deep learning and big data, in three stages. First, a classification system was established based on the industry type and functionality of e-commerce websites. Second, the types of components of web pages were systematically categorized. Third, the entire web page auto-generation system, applicable for deep learning, was designed. By re-engineering the deep learning model, which was trained with actual industrial data, to analyze and automatically generate existing websites, a directly usable solution for the field was proposed. This research is expected to contribute technically and policy-wise to the field of generative AI-based complete website creation and industrial sectors.

Citation status

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