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  • 标题:Survey On: Web Usage Mining Techniques Generating Frequent Patterns for Web-Page Recommendation.
  • 本地全文:下载
  • 作者:Gauri A Sonawane ; S.A.Itkar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:3
  • 页码:1435-1437
  • 出版社:TechScience Publications
  • 摘要:Web page recommendation has become popularand efficient in the world of web. As most of the websiterecommend web pages according to the need of the userproper recommendation is an important task. Manytechniques are present which help in web pagerecommendation out of which is finding effective usagepatterns from the web log data. Useful knowledge discoveryfrom Web usage data and satisfactory knowledgerepresentation for effective Web-page recommendations arecrucial and challenging. This paper shows a survey of varioususage mining techniques which can be used to effectivelygenerate frequent which gives the Web usage knowledge of awebsite.
  • 关键词:Web Usage Mining (WUM);Web Page;Recommendation.
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