Sinossi
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.
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L'autore
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.
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Identifying the User's Query Intent in Web Search
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LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10: 3848437317
ISBN 13: 9783848437313
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 136 pp. Englisch. Codice articolo 9783848437313
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Identifying the User's Query Intent in Web Search
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Identifying the User's Query Intent in Web Search
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
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Identifying the User's Query Intent in Web Search
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3848437317
ISBN 13: 9783848437313
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Identifying the User's Query Intent in Web Search
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LAP LAMBERT Academic Publishing Apr 2012, 2012
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ISBN 13: 9783848437313
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Taschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch. Codice articolo 9783848437313
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Identifying the User's Query Intent in Web Search : An Unsupervised Approach
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LAP LAMBERT Academic Publishing, 2012
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783848437313
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Identifying the User's Query Intent in Web Search | An Unsupervised Approach
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LAP LAMBERT Academic Publishing, 2012
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Taschenbuch. Condizione: Neu. Identifying the User's Query Intent in Web Search | An Unsupervised Approach | Liliana Calderón-Benavides | Taschenbuch | 136 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848437313 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106511430
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Identifying the User*s Query Intent in Web Search: An Unsupervised Approach
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848437317
ISBN 13: 9783848437313
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