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  • 标题:Big Data Collection Study for Providing Efficient Information
  • 本地全文:下载
  • 作者:Jun-soo Yun ; Jin-tae Park ; Hyun-seo Hwang
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2015
  • 卷号:9
  • 期号:12
  • 页码:41-50
  • DOI:10.14257/ijseia.2015.9.12.03
  • 出版社:SERSC
  • 摘要:Many data on smartphones and Internet development is communicated indiscriminately, thereby undergoing a rapid increase in data traffic. Especially in social commerce, the enormous information, the user becomes difficult yourself to find the necessary information. Even a company that provides the service, became difficult to be provided to understand the user needs information. Data that is not classified as an increase in senseless amount of data has become a new problem of this age. And is only collect the required data through the analysis, if the exact customized service is provided, it will be able to resolve the data traffic problems. Therefore, in this paper, we describe an efficient method of collecting big data to you customized advertising service users.
  • 关键词:Big Data; Social Commerce; Data Traffic; Smartphone
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