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Internet Video Popularity Analysis And Prediction System Design And Implementation

Posted on:2017-12-05Degree:MasterType:Thesis
Country:ChinaCandidate:L LiFull Text:PDF
GTID:2428330518494560Subject:Computer Science and Technology
Abstract/Summary:
In recent years,the domestic video sites grew rapidly,watching video on the Internet has become a habit of life of people.Initial rise,China's Internet video business from 2004 to this year has more than 10 years of time.During this period,with the large amount of capital to this market domestic and overseas,internet video industry developing and becoming mature rapidly,has become people's indispensable leisure entertainment.Network video is becoming the first Internet service in China.In 2014,China network video user up to 439 million,mobile video user size for 294 million.Internet advertising revenue has more than TV,be the first of five major media advertising media.Pattern of domestic video sites has been basically formed,each site's devotion and competition to the copyright have been to the white-hot state.Through to the fetching of present domestic top video websites'video views,exception handling,proper information completion and normalization,this article excepted to analyze the refined information and reveal the difference of popularity trend of same video in different sites and the relevance of video's early popularity and peak popularity.Finally,according to the arrangement and analysis of the video popularity data,we put forward a kind of prediction model to predict the video peak views volume can achieve use early popularity through the video features,combined with the feature of its early similar video.It is proved that this model is effective especially in the complete historical data.The prediction model has rapid response speed,can meet the demand for video popularity prediction.Video popularity prediction and the result was effectively applied to the various modules of the video vertical search engine.
Keywords/Search Tags:internet video, views, popularity, vertical search
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