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Log-based indexing to improve web site search
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Information access and retrieval table of contents
Pages: 829 - 833  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Chen Ding  Ryerson University, Toronto, ON, Canada
Jin Zhou  Ryerson University, Toronto, ON, Canada
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 57,   Citation Count: 2
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ABSTRACT

Despite the success of global search engines, web site search is still problematic in its retrieval accuracy. In this paper, we try to improve the performance of the site search by combining a new source of evidence from web server logs. We propose a novel approach of using server log analysis to extract terms to build the web page index. Then, this log-based index is combined with the text-based and anchor-based index to provide a more complete view on the page content. Experiments have shown that it could improve the effectiveness of the web site search significantly.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A. Shakery, and C. X. Zhai, Relevance propagation for topic distillation, UIUC TREC 2003 Web Track Experiments, In the 12th Text REtrieval Conference, 2003.
 
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J. Zhou, Web site search: rank combination with supporting evidence, Master's Thesis, 2006.