Research on Movie Box Office Prediction Model With Conjoint Analysis

Author:

Lu Wei1,Xing Ruben2

Affiliation:

1. Communication University of China, Beijing, China

2. Montclair State University, Montclair, USA

Abstract

Based on the Chinese film market, considering the influence factors of the movie box office (MBO) from multiple dimensions, and using the conjoint-analysis method with a questionnaire survey and an expert interview to determine the main index system affecting MBO, this article then establishes a MBO forecast model through the neural network BRP method. In combination with the actual data of the film market along with the empirical analysis and verification this article provides valuable investment reference for film risk control and movie investment decisions.

Publisher

IGI Global

Subject

Information Systems,Management Information Systems

Reference21 articles.

1. A Method of Movie Business Prediction Using Back-propagation Neural Network

2. The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction

3. Devising a practical model for predicting theatrical movie success: Focusing on the experience good property.;B. H.Chang;Studies in Culture & Art,2009

4. LARS-SVR-based movie box office prediction model.;B.Chen;Journal of Shanxi Normal University,2018

5. A Gaussian copula regression model for movie box-office revenues prediction

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