Research On The Value Evaluation Of Video Content

With the advent of 5G era,video content consumption and underlying technology wave reform has been driven,and video has developed rapidly.The core of video competition is content,and watching video content has occupied a large amount of time in everyone’s daily life and work.Users are immersed in vast amounts of content,choosing and shaping their preferences for content.At the same time,with the continuous improvement of users’ Internet cognition,the demand for video content is increasingly large,but the requirements are also increasingly high.In order to occupy a place,video platforms need high-quality content production and high user engagement.Therefore,this paper takes video content as the object and uses multiple linear regression method to evaluate the value of video platform content.Research has found that video content is divided into long videos and short videos.Short video itself has pieces of mobile communication,strong penetrating power and consumption time and record the little things,keeping track social mood,event details,instant,broke through the restriction of long video,watch space is"flow",so favored by users,and growth is far long video growth speed,is changing and overturn the overall pattern of audio and video transmission,Therefore,the content value of short videos will be mainly evaluated.In this study,the background data of a video platform is used as the data source,and multiple dimensions,such as active users,search users,sharing times and favorites users,are used as explanatory variables to evaluate and analyze the number of users playing video content value measurement index.It is found that the value evaluation of video content estimates that playback users are affected by active users,search,sharing and collection.The model has a high degree of fitting,the expected results are consistent with the actual trend,and the model is accurate.Search,sharing and favorites have a positive impact on the value of the entire video content.Also found that affected by primary and secondary school students the holiday,July showed a trend of rising,the user a lot into the video platform,and a wave over the weekend,Monday will be phased small trough,therefore,need to pay attention to the holiday and vacation drive user consumption peak,stimulate users to consume more,video platform would supply a large number of high quality content.