Thorsten Joachims Cornell University Department of Computer Science Ithaca,...  Home/Search
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Abstract: This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system should present relevant documents high in the ranking, with less relevant documents following below. While previous approaches to learning retrieval functions from examples exist, they typically require training data generated from relevance judgments by experts. This makes them di#cult and expensive to apply. The goal of... (Update)
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BibTeX entry: (Update)
Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings of Knowledge Discovery in Databases. (2002) http://citeseer.ist.psu.edu/joachims02optimizing.html More
@misc{ joachims02optimizing,
author = "T. Joachims",
title = "Optimizing search engines using clickthrough data",
text = "Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings
of Knowledge Discovery in Databases. (2002)",
year = "2002",
url = "citeseer.ist.psu.edu/joachims02optimizing.html" }
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