메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

What Do The Algorithms of The Online Video Platform Recommend: Focusing on Youtube K-pop Music Video
Recommendations
Search
Questions

온라인 동영상 플랫폼의 알고리듬은 어떤 연관 비디오를 추천하는가: 유튜브의 K POP 뮤직비디오를 중심으로

논문 기본 정보

Type
Academic journal
Author
Yeong-Ju Lee (서울과학기술대) Chang-Hwan Lee (서울과학기술대)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.20 No.4 KCI Accredited Journals
Published
2020.4
Pages
1 - 13 (13page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
What Do The Algorithms of The Online Video Platform Recommend: Focusing on Youtube K-pop Music Video
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
In order to understand the recommendation algorithm applied to the online video platform, this study examines the relationship between the content characteristics of K-pop music videos and related videos recommended for playback on YouTube, and analyses which videos are recommended as related videos through network analysis. As a result, the more liked videos, the higher recommendation ranking and most of the videos belonging to the same channel or produced by the same agency were recommended as related videos. As a result of the network analysis of the related video, the network of K-pop music video is strongly formed, and the BTS music video is highly centralized in the network analysis of the related video. These results suggest that the network between K-pops is strong, so when you enter K-pop as a search query and watch videos, you can enjoy K-pop continuously. But when watching other genres of video, K-pop may not be recommended as a related video.
#콘텐츠 추천 시스템 #알고리듬 #온라인 동영상 플랫폼 #연관 비디오 #Contents Recommendation System #Algorithm #Online Video Platform #Related Video

Contents

요약
Abstract
I. 서론
Ⅱ. 관련 문헌 검토
Ⅲ. 연구문제 및 연구방법
Ⅳ. 연구결과
Ⅴ. 결론 및 논의
참고문헌

References (41)

Add References
김도균 / 2017 / 과학기술정보 서비스 플랫폼에서의 빅데이터 분석을 통한 개인화 추천서비스 설계 / 한국비블리아학회지 28(4):501~518 Crossref M. L. Katz / 2019 / Multisided Platforms, Big Data, and a Little Antitrust Policy / Review of Industrial Organization 54:695~716 google schola 조성기 / 2016 / 유료 방송 가입자의 장르 선호도와 VOD 구매의 관계에 관한 연구 :IPTV 영화 VOD 이용을 중심으로 / 한국콘텐츠학회 논문지 16(11):91~102 dbpia M. Airoldi / 2016 / Follow the algorithm : An exploratory investigation of music on Youtube / Poetics 57:1~13 google schola B. Hallinan / 2016 / Recommended for you : The Netflix Prize and the production of algorithmic culture / New Media & Society 18(1):117~137 google schola

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

사용자의 소셜 카테고리를 이용한 유튜브 동영상 추천 알고리즘
SoYeop Yoo ,  OkRan Jeong Journal of KIISE 2015 .05
Youtube Algorithm and Confirmation Bias
In-sik Kim ,  JaMee Kim 한국컴퓨터교육학회 학술발표대회논문집 2021 .01
알고리즘으로 본 유튜브의 미디어 지향
오세욱 Kwanhun Journal 2019 .03
Exploring YouTube as a form of technology and culture : Concepts of ‘flow’ and algorithm in digital culture network
HeeᐨEun Lee Media & Society 2019 .05
A Recommendation Algorithm for YouTube Video Contents
Lee Eun Jin ,  Kim Seon Hwa ,  Seo Su Bin and others 1 대한전기학회 학술대회 논문집 2021 .07

Recently viewed articles

Effects of Capstone Design Program on Creative Leadership, Problem Solving Ability and Critical Thinking
Ji-Suk Kim, Hee Jung ChoiThe Korea Contents Society2018.04
 대법원 판례
고경숙2015.03
 A Empirical Study on The Causal Relationship Between Charisma Leadership and Spirituality
Chun-Sung Youn, Dhu-Yun HongThe Korea Contents Society2015.08
 기존 동아시아 담론의 점검과 대안적 아시아의 기획, 『동아시아의 문화와 문화적 정체성』
이정훈SAEUL FOUNCATION OF CULTURE2009.06

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2020-310-000576248