{"title":"短视频推荐算法的研究与实现","authors":"Lai Jiang, Xiangling Fu","doi":"10.1109/ASONAM.2014.6921677","DOIUrl":null,"url":null,"abstract":"As the approaching of the UGC era, numerous short videos flood into the Internet every day, but at the present stage, it costs much resources and takes a lot of time to calculate the recommended videos. It is inevitable to search for a feasible recommended algorithm. In this paper, this issue has been studied based on distributed computing, innovatively combining the optimization of user tag cloud model. And then we has proposed practical schemes. Experimental results show that the proposed scheme is feasible but also efficient.","PeriodicalId":143584,"journal":{"name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and implementation of algorithm for short videos recommendation\",\"authors\":\"Lai Jiang, Xiangling Fu\",\"doi\":\"10.1109/ASONAM.2014.6921677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the approaching of the UGC era, numerous short videos flood into the Internet every day, but at the present stage, it costs much resources and takes a lot of time to calculate the recommended videos. It is inevitable to search for a feasible recommended algorithm. In this paper, this issue has been studied based on distributed computing, innovatively combining the optimization of user tag cloud model. And then we has proposed practical schemes. Experimental results show that the proposed scheme is feasible but also efficient.\",\"PeriodicalId\":143584,\"journal\":{\"name\":\"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASONAM.2014.6921677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASONAM.2014.6921677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and implementation of algorithm for short videos recommendation
As the approaching of the UGC era, numerous short videos flood into the Internet every day, but at the present stage, it costs much resources and takes a lot of time to calculate the recommended videos. It is inevitable to search for a feasible recommended algorithm. In this paper, this issue has been studied based on distributed computing, innovatively combining the optimization of user tag cloud model. And then we has proposed practical schemes. Experimental results show that the proposed scheme is feasible but also efficient.