Abstract
User queries in search engines and Websites give valuable information on the interests of people. In addition, clicks after queries relate those interests to actual content. Even queries without clicks or answers imply important missing synonyms or content. In this talk we show several examples on how to use this information to improve the performance of search engines, to recommend better queries, to improve the information scent of the content of a Website and ultimately to capture knowledge, as Web queries are the largest wisdom of crowds in Internet.
Invited speakers at ECML/PKDD are supported by the PASCAL European network of excellence.
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© 2007 Springer-Verlag Berlin Heidelberg
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Baeza-Yates, R. (2007). Mining Queries. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds) Knowledge Discovery in Databases: PKDD 2007. PKDD 2007. Lecture Notes in Computer Science(), vol 4702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74976-9_3
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DOI: https://doi.org/10.1007/978-3-540-74976-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74975-2
Online ISBN: 978-3-540-74976-9
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