Information Retrieval: Algorithms and Heuristics
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,...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
2004
|
Ausgabe: | 2nd ed. 2004 |
Schriftenreihe: | The Information Retrieval Series
15 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (XX, 332 p) |
ISBN: | 9781402030055 |
DOI: | 10.1007/978-1-4020-3005-5 |
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520 | |a 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 | ||
650 | 4 | |a Artificial Intelligence | |
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Datensatz im Suchindex
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author | Grossman, David A. Frieder, Ophir |
author_facet | Grossman, David A. Frieder, Ophir |
author_role | aut aut |
author_sort | Grossman, David A. |
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bvnumber | BV047064160 |
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dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4020-3005-5 |
edition | 2nd ed. 2004 |
format | Electronic eBook |
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id | DE-604.BV047064160 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:22Z |
indexdate | 2024-07-10T09:01:34Z |
institution | BVB |
isbn | 9781402030055 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471272 |
oclc_num | 1227477191 |
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owner | DE-706 |
owner_facet | DE-706 |
physical | 1 Online-Ressource (XX, 332 p) |
psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | Springer Netherlands |
record_format | marc |
series2 | The Information Retrieval Series |
spelling | Grossman, David A. Verfasser aut Information Retrieval Algorithms and Heuristics by David A. Grossman, Ophir Frieder 2nd ed. 2004 Dordrecht Springer Netherlands 2004 1 Online-Ressource (XX, 332 p) txt rdacontent c rdamedia cr rdacarrier The Information Retrieval Series 15 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 Artificial Intelligence Computer Science, general Data Storage Representation Information Storage and Retrieval Information Systems Applications (incl. Internet) Natural Language Processing (NLP) Artificial intelligence Computer science Data structures (Computer science) Information storage and retrieval Application software Natural language processing (Computer science) Information Retrieval (DE-588)4072803-1 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s DE-604 Frieder, Ophir aut Erscheint auch als Druck-Ausgabe 9781402030048 Erscheint auch als Druck-Ausgabe 9781402030031 Erscheint auch als Druck-Ausgabe 9789401570985 Erscheint auch als Druck-Ausgabe 9789402416787 https://doi.org/10.1007/978-1-4020-3005-5 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Grossman, David A. Frieder, Ophir Information Retrieval Algorithms and Heuristics Artificial Intelligence Computer Science, general Data Storage Representation Information Storage and Retrieval Information Systems Applications (incl. Internet) Natural Language Processing (NLP) Artificial intelligence Computer science Data structures (Computer science) Information storage and retrieval Application software Natural language processing (Computer science) Information Retrieval (DE-588)4072803-1 gnd |
subject_GND | (DE-588)4072803-1 |
title | Information Retrieval Algorithms and Heuristics |
title_auth | Information Retrieval Algorithms and Heuristics |
title_exact_search | Information Retrieval Algorithms and Heuristics |
title_exact_search_txtP | Information Retrieval Algorithms and Heuristics |
title_full | Information Retrieval Algorithms and Heuristics by David A. Grossman, Ophir Frieder |
title_fullStr | Information Retrieval Algorithms and Heuristics by David A. Grossman, Ophir Frieder |
title_full_unstemmed | Information Retrieval Algorithms and Heuristics by David A. Grossman, Ophir Frieder |
title_short | Information Retrieval |
title_sort | information retrieval algorithms and heuristics |
title_sub | Algorithms and Heuristics |
topic | Artificial Intelligence Computer Science, general Data Storage Representation Information Storage and Retrieval Information Systems Applications (incl. Internet) Natural Language Processing (NLP) Artificial intelligence Computer science Data structures (Computer science) Information storage and retrieval Application software Natural language processing (Computer science) Information Retrieval (DE-588)4072803-1 gnd |
topic_facet | Artificial Intelligence Computer Science, general Data Storage Representation Information Storage and Retrieval Information Systems Applications (incl. Internet) Natural Language Processing (NLP) Artificial intelligence Computer science Data structures (Computer science) Information storage and retrieval Application software Natural language processing (Computer science) Information Retrieval |
url | https://doi.org/10.1007/978-1-4020-3005-5 |
work_keys_str_mv | AT grossmandavida informationretrievalalgorithmsandheuristics AT friederophir informationretrievalalgorithmsandheuristics |