• Title/Summary/Keyword: Prediction of Movie Ticket Sales

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Development of Demand Prediction Model for Video Contents Using Digital Big Data (디지털 빅데이터를 이용한 영상컨텐츠 수요예측모형 개발)

  • Song, Min-Gu
    • Journal of Industrial Convergence
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    • v.20 no.4
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    • pp.31-37
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    • 2022
  • Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.