Abstract
Web Search Engines (WSEs) have stored in their query logs information about users since they started to operate. This information often serves many purposes. The primary focus of this tutorial is to introduce to the discipline of query log mining. We will show its foundations, by giving a unified view on the literature on query log analysis, and also present in detail the basic algorithms and techniques that could be used to extract useful knowledge from this (potentially) infinite source of information. Finally, we will discuss how the extracted knowledge can be exploited to improve different quality features of a WSE system, mainly its effectiveness and efficiency.
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References
Baeza-Yates, R., Castillo, C., Junqueira, F., Plachouras, V., Silvestri, F.: Chal- lenges in distributed information retrieval. In: International Conference on Data Engineering (ICDE), Istanbul, Turkey, April 2007. IEEE CS Press, Los Alamitos (2007)
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© 2009 Springer-Verlag Berlin Heidelberg
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Orlando, S., Silvestri, F. (2009). Mining Query Logs. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds) Advances in Information Retrieval. ECIR 2009. Lecture Notes in Computer Science, vol 5478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00958-7_94
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DOI: https://doi.org/10.1007/978-3-642-00958-7_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00957-0
Online ISBN: 978-3-642-00958-7
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