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Coverage and delay forecast modeling of search engine services.
Kim, YS and Lee, SK and Kang, BH and Williams, RN (2008) Coverage and delay forecast modeling of search engine services. In: Pacific Rim Knowledge Acquisition Workshop (PKAW-08). Proceedings, December, 2008, Hanoi, Vietnam.
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Available under University of Tasmania Standard License.
Web information publishers are interested in how well their information is indexed by major search engines within short time, because the search engines are a main information access point for their web sites. Being the crawling policy of each search engine is usually commercial secret, it is
useful to estimate each search engine’s coverage and delay with known
predicator variables. This paper proposes forecasting models for service
coverage and delay of search engines in the Australian government area using predictor variables, identified from the crawling policies of academic papers, and statistical regression methods. The Logistic regression method was employed for coverage forecast and Poisson regression method for delay. Our research results show that different explanatory variables were chosen for constructing models and their importance significantly varies among search engines.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||e-government, digital government information, search engines, search engine service coverage, search service delay.|
The original publication is available at www.springerlink.com
|Date Deposited:||31 Mar 2009 01:09|
|Last Modified:||18 Nov 2014 03:57|
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