Guangsheng Meng, Feroz De Costa, Diyana Kasimon
Box office is one of the important factors measuring the development of the film market. This article combines existing research on factors that affect box office performance with the actual situation of the domestic film market. Using data mining technology and crawler technology to crawl domestic movie data from multiple websites, select factors such as movie type, number of short reviews, Baidu index, and creator brand rating that have a significant positive impact on the total box office of domestic movies as features. Using multiple linear regression models to effectively predict the total box office of domestic films, in order to provide certain reference value for domestic film investors and producers.