Identifying the User's Query Intent in Web Search: An Unsupervised Approach - Couverture souple

Calderón-Benavides, Liliana

 
9783848437313: Identifying the User's Query Intent in Web Search: An Unsupervised Approach
Couverture souple
ISBN 10 : 3848437317 ISBN 13 : 9783848437313
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Web Information Retrieval systems need to increase the user satisfaction while improving the quality of the results. The current trend in this direction focus on representing the information needs of the user along with the query. This representation need to be automatic and transparent to the furthest extent possible. In this work the focus is on identifying and understanding the user intent: What motivated the user to perform a search on the web? To this end, we apply machine learning models not requiring more information than the one provided by the very needs of the users, which in this work are represented by their queries. The knowledge and interpretation of this invaluable information can help search engines to obtain resources, especially relevant to users, and thus improve user satisfaction. By means of unsupervised learning techniques, which have been selected according to the context of the problem being solved, throughout this research work, we show that is not only possible to identify the user's intents but that this process can be done automatically.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Web Information Retrieval systems need to increase the user satisfaction while improving the quality of the results. The current trend in this direction focus on representing the information needs of the user along with the query. This representation need to be automatic and transparent to the furthest extent possible. In this work the focus is on identifying and understanding the user intent: What motivated the user to perform a search on the web? To this end, we apply machine learning models not requiring more information than the one provided by the very needs of the users, which in this work are represented by their queries. The knowledge and interpretation of this invaluable information can help search engines to obtain resources, especially relevant to users, and thus improve user satisfaction. By means of unsupervised learning techniques, which have been selected according to the context of the problem being solved, throughout this research work, we show that is not only possible to identify the user's intents but that this process can be done automatically.

Biographie de l'auteur

Professor Calderón-Benavides received her Ph.D. in ICT from the Univ. Pompeu Fabra - UPF in 2011. She is a Full Professor and member of the IT Research Group at Univ. Autónoma de Bucaramanga - UNAB. She is also member of the Web Research Group from the UPF. Her research interest includes Web Mining and Recommender Systems.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848437317
ISBN 13 
9783848437313
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
non disponible
Personne responsable
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