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

Qi He,Bin Hu

doi:10.1155/2021/6094924

Abstract

The film industry is one of the core industries of the digital creative industry, which has great positive externalities to the digital creative economy. Movie box office revenue is an important indicator to measure the realization of the market value of movie consumption, and it is also the basic guarantee for the sustainable development of the movie industry. This paper relies on the professional database of the Maoyan movie market to use Python software to collect a total of 830 domestic movie-related consumption characteristic data from 2017 to 2019. In this study, the stacking method in the machine learning ensemble algorithm combines the fivefold crossfolding training method based on distributed random forest, extremely randomized trees, and generalized linear models. The model is good at handling different data types. It has higher fitting and model accuracy in feature mining and model construction, so as to effectively grasp the relevant feature factors affecting movie consumption and accurately predict the future movie box office. Based on the innovative design method of model fusion, the extracted feature vector is used to build a more accurate movie box office prediction model through stacking with a fivefold crossfolding training method. It is aimed at opening the black box that affects the realization of the value of the film content consumption market in the digital age and putting forward corresponding countermeasures and suggestions.

Highlights

With the continuous development of digital technology, the digital transformation characterized by artificial intelligence [1,2,3] and big data applications has promoted the continuous evolution of the connotations, boundaries, and forms of creative economy and industrial development
Movie box office revenue is an important indicator to measure the realization of the consumer market value of the movie industry
Based on the mature experience of film product attribute feature selection at home and abroad, combined with consumers' personalized characteristics and aesthetic preferences, this study focuses on the impact of digital environment elements on consumption logic under the background of digital transformation; explores the threedimensional feature factors of consumers, film products, and digital environment, which have a great impact on film consumption in the digital era; and constructs an index system

Summary

Introduction

With the continuous development of digital technology, the digital transformation characterized by artificial intelligence [1,2,3] and big data applications has promoted the continuous evolution of the connotations, boundaries, and forms of creative economy and industrial development. Movie products are a typical representative of the development of creative cultural products and digital content. As of 2019, the Chinese film industry has leaped to the second place in the world in terms of market size and has made important contributions to the economic benefits and social impact of the domestic digital content industry, the development of the new crown epidemic in 2020 has affected the offline film industry to a certain extent.

Methods

Results

Conclusion