Information Retrieval : Algorithms And Heuristics

Grossman, David A.; Frieder, Ophir

ISBN 10: 1402030045 ISBN 13: 9781402030048
Editorial: Springer, 2004
Nuevos Encuadernación de tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Vendedor de AbeBooks desde 6 de abril de 2009

Este artículo en concreto ya no está disponible.

Descripción

Descripción:

N° de ref. del artículo 3354402-n

Denunciar este artículo

Sinopsis:

Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.

Reseña del editor:

Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions.

This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms.

The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described.

This edition is a major expansion of the one published in 1998. Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Information Retrieval : Algorithms And ...
Editorial: Springer
Año de publicación: 2004
Encuadernación: Encuadernación de tapa blanda
Condición: New
Edición: 2ª Edición

Los mejores resultados en AbeBooks

Existen otras 7 copia(s) de este libro

Ver todos los resultados de su búsqueda