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Predicting Relative Superiority of TV Drama First Episodes based on the Quantitative Competency Index of the Cast and Crew
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TV드라마 참여 인물의 계량 능력지표에 기반한 첫 회 시청률 상대적 우위 예측

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Type
Academic journal
Author
Sang Phil Ju (연세대학교) June Seok Hong (경기대학교) Wooju Kim (연세대학교)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.19 No.6 KCI Accredited Journals
Published
2019.6
Pages
179 - 191 (13page)

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Predicting Relative Superiority of TV Drama First Episodes based on the Quantitative Competency Index of the Cast and Crew
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Abstract· Keywords

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It is not easy to predict the return on investment in the content business, and there is no index to evaluate cast & crew. The absolute number of TV ratings is steadily declining, but there is no substitute index yet. In this study, we tried to predict the relative popularity of the drama by designing the relative superiority of the individual drama viewership as the response variable and designing the relative superiority of the drama participants as the explanatory variables. We used various machine learning algorithms and added explanatory variables that were found to be useful in previous studies. As a result, with properly combined explanatory variables, a high prediction accuracy of 84% is obtained. In this study, we intend to promote the investment efficiency of the entire contents industry by predicting the relative popularity of the contents.
#드라마 #제작진 #출연자 #시청률 #예측 #Drama #Crew #Cast #TV Ratings #Predicting

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 선행 연구 분석
Ⅲ. 예측 모형의 설계
Ⅳ. 연구 결과
Ⅴ. 결론
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References (17)

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2018 / 2018년도 방송매체 이용행태 조사 :30~31 google schola http://www.mediatoday.co.kr/?mod=news&act =articleView&idxno=144060 google schola 2018 / 2018년도 방송시장 경쟁상황 평가 :110 google schola 최현종 / 2017 / 데이터 마이닝을 통한 지상파 드라마 첫 회 시청률 예측 모형 연구 / 한국정보기술학회논문지 15(1):1~10 dbpia 배진아 / 2005 / 드라마 시청률 영향 요인 분석드라마 속성 및 수용자 요인을 중심으로 / 한국방송학보 19(2):270~309 dbpia

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UCI(KEPA) : I410-ECN-0101-2019-310-000873032