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Predicting the Box Office Model: A Study Based on Network Data

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DOI: 10.23977/WTED2020.030


Jie Chen, Shanshan Chen

Corresponding Author

Jie Chen


Box office prediction is one of the important but insufficiently researched fields in the film industry. In this study, a multiple regression prediction model is constructed based on the data of network platform. By collecting the data of 60 films and using the data generated by consumers on the online platform as the index to measure the expectation and consumption intention of watching movies, the factors affecting the box office were discussed. The study found that movie ratings, number of evaluators, attention in the first week of release, and number of "want-to-watch" were significantly correlated with movie box office.


Film, Box Office Forecast, Multiple Linear Regression

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