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  • 标题:XML Retrieval with the help of Personalization in Search: A Review
  • 本地全文:下载
  • 作者:Jayati Kale ; Garima Singh Makhija
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5409-5412
  • 出版社:TechScience Publications
  • 摘要:Using personal data of users from profile andretrieve the results that are much like the user’s preferences.We use xml, it power to represent the quality style ofinformation and it'll exchange this sort of information. Wetend to concentrate on the personalization techniques that areterribly effective to look keyword victimization it that mayrecommend question to users and generate some queries here.once we produce users profile, we tend to build profile ofuser’s interest on server, distinguishing the user’s interestsupported the previous web search or previously websitesvisited by users. distinguishing the user’s interest on thepremise of his/her education and background of users so givenresult search quick and simple to indicate the results. we tendto are use feedback based mostly personalization so systemare re-ranking the search result supported product averagerating/feedback keep in xml. Company and class wisefeedback are half-tracked in info moreover as in xmldocument.
  • 关键词:Re-ranking; Personalization; XML Retrieval;feedback method
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