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2002
ACM

The Importance of Prior Probabilities for Entry Page Search

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The Importance of Prior Probabilities for Entry Page Search
An important class of searches on the world-wide-web has the goal to find an entry page (homepage) of an organisation. Entry page search is quite different from Ad Hoc search. Indeed a plain Ad Hoc system performs disappointingly. We explored three non-content features of web pages: page length, number of incoming links and URL form. Especially the URL form proved to be a good predictor. Using URL form priors we found over 70% of all entry pages at rank 1, and up to 89% in the top 10. Non-content features can easily be embedded in a language model framework as a prior probability. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Experimentation Keywords Entry Page Search, Prior Probabilities, Links, URLs, Language Models, Parameter Estimation
Wessel Kraaij, Thijs Westerveld, Djoerd Hiemstra
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SIGIR
Authors Wessel Kraaij, Thijs Westerveld, Djoerd Hiemstra
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