The geometry information retrieval / Keith Van Rijsbergen

Public ISBD Titre : The geometry information retrieval Type de document : texte imprimé Auteurs : Keith Van Rijsbergen, Auteur Editeur : Cambridge University Press ISBN/ISSN/EAN : 978-0-521-83805-4 Langues : Anglais (eng) Catégories : Informatique Informatique:Informatique, traitement des données Index. décimale : 004 Traitement de données. Informatique Résumé : Information retrieval, IR, the science of extracting information from any potential source, can be viewed in a number of ways: logical, probabilistic and vector space models are some of the most important. In this book, the author, one of the leading researchers in the area, shows how these views can be reforged in the same framework used to formulate the general principles of quantum mechanics. All the usual quantum-mechanical notions have their IR-theoretic analogues, and the standard results can be applied to address problems in IR, such as pseudo-relevance feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is also examined. To keep the book self-contained appendices with background material on physics and mathematics are included. Each chapter ends with bibliographic remarks that point to further reading. This is an important, ground-breaking book, with much new material, for all those working in IR, AI and natural language processing. The geometry information retrieval [texte imprimé] / Keith Van Rijsbergen, Auteur . - [S.l.] : Cambridge University Press, [s.d.]. ISBN : 978-0-521-83805-4 Langues : Anglais (eng) Catégories : Informatique Informatique:Informatique, traitement des données Index. décimale : 004 Traitement de données. Informatique Résumé : Information retrieval, IR, the science of extracting information from any potential source, can be viewed in a number of ways: logical, probabilistic and vector space models are some of the most important. In this book, the author, one of the leading researchers in the area, shows how these views can be reforged in the same framework used to formulate the general principles of quantum mechanics. All the usual quantum-mechanical notions have their IR-theoretic analogues, and the standard results can be applied to address problems in IR, such as pseudo-relevance feedback, relevance feedback and ostensive retrieval. The relation with quantum computing is also examined. To keep the book self-contained appendices with background material on physics and mathematics are included. Each chapter ends with bibliographic remarks that point to further reading. This is an important, ground-breaking book, with much new material, for all those working in IR, AI and natural language processing.

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
9780521838054MIT001	004/064	Livre	Maths&Informatique	Fonds informatique	Disponible

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