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文章基本信息

  • 标题:A Novel Approach for Predicting User Behavior for Improving Web Performance
  • 本地全文:下载
  • 作者:Priyanka Makkar ; Payal Gulati
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2010
  • 卷号:2
  • 期号:4
  • 页码:1233-1236
  • 出版社:Engg Journals Publications
  • 摘要:The rapid growth in the amount of information and the number of users has lead to difficulty in providing effective search services for the web users and increased web latency; resulting in decreased web performance. Although web performance can be improved by caching, the benefit of using it is rather limited owing to filling the cache with documents without any prior knowledge. Web prefetching becomes an attractive solution wherein forthcoming page accesses of a client are predicted, based on access log information. This paper proposes a novel approach for increasing web performance by analyzing and predicting user behavior both by collaborating information from user access log and website structure repository.
  • 关键词:web log file; pattern discovery; petri nets; web site structure repository; prefetching.
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