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  • 标题:A Survey on Topics Modeling Methods over Information Filtering
  • 本地全文:下载
  • 作者:V. Vishnupriya ; S. K Somasundaram
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:10
  • DOI:10.15680/IJIRCCE.2015.0310166
  • 出版社:S&S Publications
  • 摘要:In recent years, the appearance of Information filtering is a rare method of web routine data mining hasbecome an interesting explores area. Information filtering is a system that removes surplus information from an informationtorrent using computerized methods prelate to staging to a human user. Information filtering is planned for formless or semistructured data, as dispute to database applications, which use very precise data. Filtering is based on beyond words ofindividual or group of preferences, often called profiles. Filtering also understood removal of data from an incoming streamrather than finding data in an stream; users only see the data is remove or take out and it concerned large amount of data.The goal of information filtering is to filter out the irrelevant data items. This paper contain survey on various topicmodeling used for document rupture which gives the definitiveness results of these topic that have been carried out on thedifferent types of modeling.
  • 关键词:Information Filtering Systems; Topic Models; Methods of Topic modeling User‟s profile; User interest;model.
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