Xinran Wang, Yan Wang, Jianping Chai, Xi Feng, Ziyu Liu
언어
영어(ENG)
URL
https://www.earticle.net/Article/A296291
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Nowadays, the audiences' consumption attitudes, consumption patterns and consumer groups are all in the great changes, thus it is necessary to improve the film’s revenue by excellent script selecting, accurate market positioning, effective product marketing, and accurate forecasting of the box office. This paper introduced the application and benefit of big data in the film industry chain in terms of film making and investing, film publicity and distribution, film broadcasting and film audience, pointed out many challenges that big data encountered in China’s film industry and finally provided useful suggestions for the practitioners in the film industry of all aspects.
목차
Abstract 1. Big Data in Film Industry 2. Big Data in Film Investing and Making 3. Big Data in Film Publicity and Distribution 4. Big Data in Film Broadcasting 5. The Impact of Big Data on Movie Audiences 6. The Challenges film industry met in Big Data Era References
키워드
Big dataMovieFilm publicity and distributionFilm marketingFilm making and investing
저자
Xinran Wang [ Communication University of China, Information and Engineering College ]
Yan Wang [ Communication University of China, Information and Engineering College ]
Jianping Chai [ Communication University of China, Information and Engineering College ]
Xi Feng [ Communication University of China, Information and Engineering College ]
Ziyu Liu [ Communication University of China, Information and Engineering College ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.9 No.12