@article{ART003055309},
author={Jung-Hwan Kim and Young-beom Ko and Jihoon Choi and LEE, HAN JIN},
title={Research on the Design of a Deep Learning-Based Automatic Web Page Generation System},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={2},
pages={21-30},
doi={10.9708/jksci.2024.29.02.021}
TY - JOUR
AU - Jung-Hwan Kim
AU - Young-beom Ko
AU - Jihoon Choi
AU - LEE, HAN JIN
TI - Research on the Design of a Deep Learning-Based Automatic Web Page Generation System
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 2
PB - The Korean Society Of Computer And Information
SP - 21
EP - 30
SN - 1598-849X
AB - 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.
KW - Deep Learning;Artificial Intelligence;Automatic Website Generation;E-commerce;Website Classification;Web Page Components
DO - 10.9708/jksci.2024.29.02.021
ER -
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi and LEE, HAN JIN. (2024). Research on the Design of a Deep Learning-Based Automatic Web Page Generation System. Journal of The Korea Society of Computer and Information, 29(2), 21-30.
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi and LEE, HAN JIN. 2024, "Research on the Design of a Deep Learning-Based Automatic Web Page Generation System", Journal of The Korea Society of Computer and Information, vol.29, no.2 pp.21-30. Available from: doi:10.9708/jksci.2024.29.02.021
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi, LEE, HAN JIN "Research on the Design of a Deep Learning-Based Automatic Web Page Generation System" Journal of The Korea Society of Computer and Information 29.2 pp.21-30 (2024) : 21.
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi, LEE, HAN JIN. Research on the Design of a Deep Learning-Based Automatic Web Page Generation System. 2024; 29(2), 21-30. Available from: doi:10.9708/jksci.2024.29.02.021
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi and LEE, HAN JIN. "Research on the Design of a Deep Learning-Based Automatic Web Page Generation System" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 21-30.doi: 10.9708/jksci.2024.29.02.021
Jung-Hwan Kim; Young-beom Ko; Jihoon Choi; LEE, HAN JIN. Research on the Design of a Deep Learning-Based Automatic Web Page Generation System. Journal of The Korea Society of Computer and Information, 29(2), 21-30. doi: 10.9708/jksci.2024.29.02.021
Jung-Hwan Kim; Young-beom Ko; Jihoon Choi; LEE, HAN JIN. Research on the Design of a Deep Learning-Based Automatic Web Page Generation System. Journal of The Korea Society of Computer and Information. 2024; 29(2) 21-30. doi: 10.9708/jksci.2024.29.02.021
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi, LEE, HAN JIN. Research on the Design of a Deep Learning-Based Automatic Web Page Generation System. 2024; 29(2), 21-30. Available from: doi:10.9708/jksci.2024.29.02.021
Jung-Hwan Kim, Young-beom Ko, Jihoon Choi and LEE, HAN JIN. "Research on the Design of a Deep Learning-Based Automatic Web Page Generation System" Journal of The Korea Society of Computer and Information 29, no.2 (2024) : 21-30.doi: 10.9708/jksci.2024.29.02.021
