PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Muntean C. I., Nardini F. M., Silvestri F., Sydow M. Learning to shorten query sessions. In: WWW '13 - 22nd international Conference on World Wide Web Companion (Rio de Janeiro, Brasil, 13-17 May 2013). Abstract, pp. 131 - 132. ACM, 2013.
 
 
Abstract
(English)
We propose the use of learning to rank techniques to shorten query sessions by maximizing the probability that the query we predict is the fi nal query of the current search session. We present a preliminary evaluation showing that this approach is a promising research direction.
URL: http://dl.acm.org/citation.cfm?id=2487851
Subject Query prediction
GBRT
Learning to rank
H.3.3 Information Search and Retrieval


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