Data analysis system for users' interest on micro-video in different websites

Shufan Zhang, Sanxing Cao
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Abstract

With the rapid development of mobile smart phone and 4G network, online micro-video has come into the view of more and more people. The providers for the micro-videos hope that if they put their micro-video on a video website, they can get as much attention as possible. So it is becoming more and more meaningful to research the users' interest in different video websites. First of all, this system captures the static data, dynamic data and comments data. Then it applies the algorithm of data mining to find which kind of micro-video is more preferred in one video website. Finally the results are submitted to the providers for the micro-videos and they can decide which website is more suitable to put their micro-video on.
不同网站用户对微视频兴趣的数据分析系统
随着移动智能手机和4G网络的快速发展,网络微视频进入了越来越多人的视野。微视频的提供者希望,如果他们把自己的微视频放在视频网站上,他们可以得到尽可能多的关注。因此,研究用户对不同视频网站的兴趣就显得越来越有意义。本系统首先对静态数据、动态数据和注释数据进行采集。然后应用数据挖掘算法,找出某视频网站更喜欢哪种类型的微视频。最后将结果提交给微视频提供商,他们可以决定哪个网站更适合放他们的微视频。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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