Abstract
Leveraging historical data from the movie industry, this study built a predictive model for movie success, deviating from past studies by predicting profit (as opposed to revenue) at early stages of production (as opposed to just prior to release) to increase investor certainty. Our work derived several groups of novel features for each movie, based on the cast and collaboration network (who’), content (‘what’), and time of release (‘when’).
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CITATION STYLE
Lash, M., Fu, S., Wang, S., & Zhao, K. (2015). Early prediction of movie success-what, who, and when. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9021, pp. 345–349). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_41
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