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  • 标题:Trends in Web Mining for Personalization
  • 本地全文:下载
  • 作者:Chhavi Rana
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:1Ver 2
  • 出版社:Ayushmaan Technologies
  • 摘要:Web mining has matured as a field of basic and applied research in computer science in general and e-commerce in particular. In the last decade, WWW has emerged as an all encompassing technology that has revolutionized the way people live. Web browsing has become an integral part of their lifestyle. This need has led to rise of range of technologies that overcome the information overload problem on the web, which is termed as personalization of the web. In this paper, we present a survey that gives a precise and comprehensive understanding of work done in the last five years in the field of personalization. The paper reviews how each of the approaches cater to user needs and give examples of projects associated with some of these techniques. The paper also mentions few issues for further research in this domain, based on the survey. In the end, paper concludes citing a promising future of this area of research.
  • 关键词:Personalization; Recommender Systems; User Profile; Navigation Patternsn
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