PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Orlando S., Silvestri F. Mining query logs. In: ECIR 2009 - Advances in Information Retrieval. 31th European Conference on IR Research (Toulose, France, 6-9 Aprile 2009). Proceedings, pp. 814 - 817. (Lecture Notes in Computer Science, vol. 5478). Springer, 2009.
 
 
Abstract
(English)
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.
URL: http://www.springerlink.com/content/v7q220vu4x62/?p=2250dcd47c71415289d899c7c2228f5e&pi=0
DOI: 10.1007/978-3-642-00958-7_94
Subject Query log
H.3.3 Information Search and Retrieval
H.2.8 Database Applications


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