@inproceedings{bennett2010classification-enhanced,
author = {Bennett, Paul and Svore, Krysta M. and Dumais, Susan and Svore, Krysta M.},
title = {Classification-enhanced Ranking},
booktitle = {Proceedings of World Wide Web},
year = {2010},
month = {April},
abstract = {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 classification-enhanced 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.},
publisher = {Association for Computing Machinery, Inc.},
url = {http://approjects.co.za/?big=en-us/research/publication/classification-enhanced-ranking/},
edition = {Proceedings of World Wide Web},
}