Articles liés à Intelligent Information Access
Synopsis
Intelligent Information Access techniques attempt to overcome the limi- tions of current search devices by providing personalized information items and product/service recommendations. They normally utilize direct or in- rect user input and facilitate the information search and decision processes, according to user needs, preferences and usage patterns. Recent devel- ments at the intersection of Information Retrieval, Information Filtering, MachineLearning, UserModelling, NaturalLanguageProcessingandHuman- Computer Interaction o?er novel solutions that empower users to go beyond single-sessionlookuptasksandthataimatservingthemorecomplexrequi- ment: "Tell me what I don't know that I need to know". Information?ltering systems, speci?callyrecommendersystems, havebeenrevolutionizingtheway information seekers?nd what they want, becausethey e?ectively prune large informationspacesandhelpusersinselectingitemsthatbestmeettheirneeds and preferences. Recommender systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank, or predict user evaluation, of items. Information Retrieval systems, on the other hand, also attempt to address similar ?ltering and ranking problems for pieces of information such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences. The book aims to investigate current developments and new insights into methods, techniques and technologies for intelligent information access from a multidisciplinary perspective. It comprises six chapters authored by part- ipants in the research event Intelligent Information Access, heldinCagliari (Italy) in December 2008.
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Intelligent Information Access (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 50fb892685f294f57f4e801903d513fa
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Intelligent Information Access
Edité par
Springer Berlin Heidelberg Jun 2010, 2010
ISBN 10 : 364213999X
ISBN 13 : 9783642139994
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intelligent Information Access techniques attempt to overcome the limitations ofcurrent search devices by providing personalized information items and product/service recommendations. They normally utilize direct or indirect user input andfacilitate the information search and decision processes, according to user needs,preferences and usage patterns. Recent developments at the intersection of InformationRetrieval, Information Filtering, Machine Learning, User Modelling, NaturalLanguage Processing and Human-Computer Interaction offer novel solutions thatempower users to go beyond single-session lookup tasks and that aim at servingthe more complex requirement: 'Tell me what I don't know that I need to know'.Information filtering systems, specifically recommender systems, have been revolutionizingthe way information seekers find what they want, because they effectivelyprune large information spaces and help users in selecting items that best meet theirneeds and preferences. Recommender systems rely strongly on the use of variousmachine learning tools and algorithms for learning how to rank, or predict userevaluation, of items. Information Retrieval systems, on the other hand, also attemptto address similar filtering and ranking problems for pieces of information such aslinks, pages, and documents. But they generally focus on the development of globalretrieval techniques, often neglecting individual user needs and preferences.The book aims to investigate current developments and new insights into methods,techniques and technologies for intelligent information access from a multidisciplinaryperspective. It comprises six chapters authored by participants in theresearch event Intelligent Information Access, held in Cagliari (Italy) in December2008. 152 pp. Englisch. N° de réf. du vendeur 9783642139994
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Intelligent Information Access (Studies in Computational Intelligence, 301)
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Intelligent Information Access
Edité par
Springer Berlin Heidelberg, 2010
ISBN 10 : 364213999X
ISBN 13 : 9783642139994
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Intelligent Information AccessState-of-the-art bookWritteny by leading experts in this fieldEnhancing Conversational Access to Information through a Socially Intelligent Agent.- Annotating and Identifying Emotions in Text.- Imp. N° de réf. du vendeur 5050369
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Intelligent Information Access
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Hardcover. Etat : Brand New. 135 pages. 9.25x6.25x0.50 inches. In Stock. N° de réf. du vendeur x-364213999X
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Intelligent Information Access
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Springer, Springer Jun 2010, 2010
ISBN 10 : 364213999X
ISBN 13 : 9783642139994
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Enhancing Conversational Access to Information through a Socially Intelligent Agent.- Annotating and Identifying Emotions in Text.- Improving Ranking by Respecting the Multidimensionality and Uncertainty of User Preferences.- Data Mining on Folksonomies.- A Uniform Theoretic Approach to Opinion and Information Retrieval.- A Suite of Semantic Web Tools Supporting Development of Multilingual Ontologies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch. N° de réf. du vendeur 9783642139994
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Intelligent Information Access
Edité par
Springer Berlin Heidelberg, 2010
ISBN 10 : 364213999X
ISBN 13 : 9783642139994
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Intelligent Information Access techniques attempt to overcome the limitations ofcurrent search devices by providing personalized information items and product/service recommendations. They normally utilize direct or indirect user input andfacilitate the information search and decision processes, according to user needs,preferences and usage patterns. Recent developments at the intersection of InformationRetrieval, Information Filtering, Machine Learning, User Modelling, NaturalLanguage Processing and Human-Computer Interaction offer novel solutions thatempower users to go beyond single-session lookup tasks and that aim at servingthe more complex requirement: 'Tell me what I don't know that I need to know'.Information filtering systems, specifically recommender systems, have been revolutionizingthe way information seekers find what they want, because they effectivelyprune large information spaces and help users in selecting items that best meet theirneeds and preferences. Recommender systems rely strongly on the use of variousmachine learning tools and algorithms for learning how to rank, or predict userevaluation, of items. Information Retrieval systems, on the other hand, also attemptto address similar filtering and ranking problems for pieces of information such aslinks, pages, and documents. But they generally focus on the development of globalretrieval techniques, often neglecting individual user needs and preferences.The book aims to investigate current developments and new insights into methods,techniques and technologies for intelligent information access from a multidisciplinaryperspective. It comprises six chapters authored by participants in theresearch event Intelligent Information Access, held in Cagliari (Italy) in December2008. N° de réf. du vendeur 9783642139994
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Intelligent Information Access
Edité par
Springer Spektrum, 2010
ISBN 10 : 364213999X
ISBN 13 : 9783642139994
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Intelligent Information Access techniques attempt to overcome the limi- tions of current search devices by providing personalized information items and product/service recommendations. They normally utilize direct or in- rect user input and facilitate the information search and decision processes, according to user needs, preferences and usage patterns. Recent devel- ments at the intersection of Information Retrieval, Information Filtering, MachineLearning,UserModelling,NaturalLanguageProcessingandHuman- Computer Interaction o?er novel solutions that empower users to go beyond single-sessionlookuptasksandthataimatservingthemorecomplexrequi- ment: ¿Tell me what I don¿t know that I need to know¿. Information?ltering systems,speci?callyrecommendersystems,havebeenrevolutionizingtheway information seekers?nd what they want, becausethey e?ectively prune large informationspacesandhelpusersinselectingitemsthatbestmeettheirneeds and preferences. Recommender systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank, or predict user evaluation, of items. Information Retrieval systems, on the other hand, also attempt to address similar ?ltering and ranking problems for pieces of information such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences. The book aims to investigate current developments and new insights into methods, techniques and technologies for intelligent information access from a multidisciplinary perspective. It comprises six chapters authored by part- ipants in the research event Intelligent Information Access,heldinCagliari (Italy) in December 2008. N° de réf. du vendeur 7910909/12
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