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2010
ACM

Classification-enhanced ranking

8 years 10 months ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a query. We present a simple framework for classificationenhanced ranking that uses clicks in combination with the classification of web pages to derive a class distribution for the query. We then go on to define a variety of features that capture the match between the class distributions of a web page and a query, the ambiguity of a query, and the coverage of a retrieved result relative to a query's set of classes. Experimental results demonstrate that a ranker learned with these features significantly improves ranking over a competitive baseline. Furthermore, our methodology is agnostic with respect to the classification space and can be used to derive query classes for a variety of different taxonomies. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Ind...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where WWW
Authors Paul N. Bennett, Krysta Marie Svore, Susan T. Dumais
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