{"title":"Data analysis system for users' interest on micro-video in different websites","authors":"Shufan Zhang, Sanxing Cao","doi":"10.1109/ICSESS.2016.7883142","DOIUrl":null,"url":null,"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.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.