Research on the Influencing Factors of Film Consumption and Box Office Forecast in the Digital Era: Based on the Perspective of Machine Learning and Model Integration

Table 1

Setting of the characteristic index system of influencing factors of movie box office in the digital age.

First-level indicator	Secondary index	Three-level indicators	Explanation of related indicators
Personal consumption characteristics	Basic information; Aesthetics and preferences; Herd mentality	Gender	Consumer gender distribution information
		Age	Consumer age distribution information
		Education level	Consumer education level distribution information
		Active area	Consumer active area distribution information
		Preferred movie type	Consumers’ favorite movie genres in the past
Features of movie products	Core cultural value; Experience and emotional value; Cultural awareness	Film awards or nominations	Refers to all valid awards won by the film at major film festivals
		Movie type	The categories, types, or forms of films formed due to different themes or techniques, including 13 categories such as action, science fiction, and comedy
		Visual effect	Whether it belongs to 3D, IMAX, or giant screen
		Whether adapted from IP	Whether the movie is adapted from classic classics, best-selling novels, animation works, game works, etc.
		Whether the sequel	Does the movie belong to the sequel of a certain series of movies
		Director’s box office appeal	Director’s cumulative historical box office
		Starring box office appeal	The top ten leading actors in their respective cumulative historical box office
		Screenwriter box office appeal	The top three screenwriters have their cumulative historical box office
		Director topic discussion volume	Number of director’s online topic discussions
		Leading topic discussion volume	Top ten leading actors in their respective online topic discussions
		The volume of screenwriting topics	The top three screenwriters discuss their respective online topics
		Number of masterpieces produced by the company	Cumulative number of masterpieces from major production companies
		Number of masterpieces produced by the company	Cumulative quantity of all masterpieces of major production companies
Digital environment characteristics	Marketing activities; Popularity of public opinion; Internet word of mouth	Number of representative works issued by the company	Cumulative number of masterpieces of major issuing companies
		Trailer run times	Trailer network runs
		Total number of trailers played	Cumulative play volume of trailer
		Distribution platform	The distribution of trailer delivery platforms
		Cumulative number of popular Weibo	Number of related hot Weibo discussions
		Cumulative Weibo interactions	Number of Weibo interactions
		Weibo topic discussion volume	Number of topics discussed on Weibo
		Cumulative number of official account articles	Number of related public account articles
		Cumulative article reading	Cumulative reading volume of related public account articles
		Cat eye score	Word-of-mouth score of Maoyan movie website
		IMDB score	IMDB word-of-mouth score
		Screening time/schedule	Film first round screening schedule