@article{ART003237264},
author={Chae-Jin LIM and Jung Soo Han and Hyun-Seob Lee},
title={A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={4},
pages={85-90}
TY - JOUR
AU - Chae-Jin LIM
AU - Jung Soo Han
AU - Hyun-Seob Lee
TI - A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 4
PB - The Korea Internet of Things Society
SP - 85
EP - 90
SN - 2466-0078
AB - The content platform utilizes genres and tags as important metadata along with the name of the work and the name of the writer in its content classification. Its purpose is to clearly indicate the basic properties of the content and to combine similar-looking content to increase the accessibility of users. However, these two pieces of information are often randomly assigned by service companies or distributors, revealing problems in structure and consistency. In order to find a way to improve this problem, this study hierarchically clustered the unstandardized genre structure by using the similarity between genres calculated through the PMI (Pointwise Mutual Information), an indicator of statistical correlation between elements, based on the serial information of Naver Webtoon, a representative webtoon platform in Korea from 2005 to 2024. As a result of the experiment, the genre prediction performance through plot embedding in the redefined cluster → genre structure was 91.4%, which was 1.49 times better than when it was not redefined. This study contributes to the improvement of indicators for the classification of unstructured data, the expansion of the general content classification system not limited to webtoons, and the maintenance of the recommendation system.
KW - redefine classification;content clustering;PMI;creative/planning assistant;metadata
DO -
UR -
ER -
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. (2025). A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms. Journal of Internet of Things and Convergence, 11(4), 85-90.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. 2025, "A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms", Journal of Internet of Things and Convergence, vol.11, no.4 pp.85-90.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee "A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms" Journal of Internet of Things and Convergence 11.4 pp.85-90 (2025) : 85.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee. A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms. 2025; 11(4), 85-90.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. "A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms" Journal of Internet of Things and Convergence 11, no.4 (2025) : 85-90.
Chae-Jin LIM; Jung Soo Han; Hyun-Seob Lee. A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms. Journal of Internet of Things and Convergence, 11(4), 85-90.
Chae-Jin LIM; Jung Soo Han; Hyun-Seob Lee. A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms. Journal of Internet of Things and Convergence. 2025; 11(4) 85-90.
Chae-Jin LIM, Jung Soo Han, Hyun-Seob Lee. A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms. 2025; 11(4), 85-90.
Chae-Jin LIM, Jung Soo Han and Hyun-Seob Lee. "A Study on Genre Structuring to Improve Unstandardized Classification in Content Platforms" Journal of Internet of Things and Convergence 11, no.4 (2025) : 85-90.
