电影是一门视觉和听觉的综合现代艺术，越来越多的电影作品成为人们日常生活、娱乐不可缺少的一部分。中国电影产业未来几年将持续发展并获得政府的鼓励与扶持。为此，对于电影的宣传和推广方式也得到更多研究人员的重视。对于电影发行方来说，如何更有针对性的宣传新上映的影片，更有效地保证电影的市场占有率尤为重要；而对于观众来说，如何从众多影片中快速选择更符合自身兴趣的影片将是亟待解决的问题。由此，本项目计划开展基于社交媒体用户行为的电影宣传片自动生成方法的研究。首先，从社交媒体中搜集和分析用户的日常观影习惯及关注内容，发现潜在用户；其次，统计出用户的兴趣点并进行个性化定制；最后，通过机器学习的方法，自动生成用户感兴趣的电影片段作为电影宣传片，并推荐给用户。通过本项目的方法，将能更有针对性地达到电影宣传的目的，极大地吸引用户观影。

Film is a comprehensive modern art of vision and hearing. More and more films enter the market and become an indispensable part of people's daily life and entertainment. The Chinese film industry will continue to develop in the next few years and will be encouraged and supported by the government. To this end, the publicity and promotion of films have also been paid more attention by researchers. For the movie issuers, how to be more targeted and effectively to promotion a new movies is a particularly important problem; but for the audience, how to choose a film with their own interesting from a number of film will be the problems to be solved. As a result, this project plans to carry out research on.the automatic generation of movie trailer based on social media user behavior. First, collect and analysis users’ daily viewing habits and concerned content from social media, to find potential customers; secondly, the statistics of the interests of users and customization; finally, by the method of machine learning, automatic generation of user interested movie clips as a movie trailer, and recommended to the user. Through the method of this project, it will be more targeted to achieve the purpose of the film publicity, and greatly attract the view of the user.