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A Generative Theory of Relevance - Victor Lavrenko
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Victor Lavrenko:
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ISBN: 9783540893646

ID: 9783540893646

A modern information retrieval system must have the capability to find, organize and present very different manifestations of information such as text, pictures, videos or database records any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it&apos s even harder to model in a formal way.Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events.Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling. A Generative Theory of Relevance: A modern information retrieval system must have the capability to find, organize and present very different manifestations of information such as text, pictures, videos or database records any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it&apos s even harder to model in a formal way.Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events.Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling., Springer-Verlag Gmbh

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A Generative Theory of Relevance - Victor Lavrenko , edited by W. Bruce Croft
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Victor Lavrenko , edited by W. Bruce Croft:
A Generative Theory of Relevance - neues Buch

ISBN: 9783540893646

ID: 32121

A modern information retrieval system must have the capability to find, organize and present very different manifestations of information ? such as text, pictures, videos or database records ? any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and its even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism, second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.[PU:Springer Netherlands], [PU: Springer, Berlin/Heidelberg]

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A Generative Theory of Relevance - Lavrenko, Victor
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Lavrenko, Victor:
A Generative Theory of Relevance - neues Buch

2008, ISBN: 3540893644

ID: 9783540893646

In englischer Sprache. Verlag: Springer Berlin, This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events. PC-PDF, 197 Seiten, XX Seiten, 197 Seiten, [GR: 9632 - Nonbooks, PBS / Informatik, EDV/Informatik], [SW: - Informatik], [Ausgabe: 2009][PU:Springer Berlin], [PU: Springer, Berlin/Heidelberg]

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A Generative Theory of Relevance - Lavrenko, Victor;edited by W. Bruce Croft
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Lavrenko, Victor;edited by W. Bruce Croft:
A Generative Theory of Relevance - neues Buch

ISBN: 9783540893646

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[KW: PDF ,INFORMATIK,SOFTWAREENTWICKLUNG ,INFORMATIK ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , INFORMATIK EDV , INFORMATIK] PDF ,INFORMATIK,SOFTWAREENTWICKLUNG ,INFORMATIK ,NATURWISSENSCHAFTEN MEDIZIN INFORMATIK TECHNIK , INFORMATIK EDV , INFORMATIK, [PU: Springer, Berlin/Heidelberg]

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A Generative Theory of Relevance - Victor Lavrenko
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Victor Lavrenko:
A Generative Theory of Relevance - neues Buch

2008, ISBN: 9783540893646

ID: 21673195

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