Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find t...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1998
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
461 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors |
| Beschreibung: | 1 Online-Ressource (XVI, 254 p) |
| ISBN: | 9781461555391 |
| DOI: | 10.1007/978-1-4615-5539-1 |
Internformat
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| 520 | |a Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors | ||
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Datensatz im Suchindex
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| author | Grossman, David A. Frieder, Ophir |
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| dewey-full | 025.04 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 025 - Operations of libraries and archives |
| dewey-raw | 025.04 |
| dewey-search | 025.04 |
| dewey-sort | 225.04 |
| dewey-tens | 020 - Library and information sciences |
| discipline | Allgemeines |
| doi_str_mv | 10.1007/978-1-4615-5539-1 |
| format | Electronic eBook |
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| id | DE-604.BV045185509 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
| institution | BVB |
| isbn | 9781461555391 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574687 |
| oclc_num | 1053824828 |
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| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XVI, 254 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science |
| spelling | Grossman, David A. Verfasser aut Information Retrieval Algorithms and Heuristics by David A. Grossman, Ophir Frieder Boston, MA Springer US 1998 1 Online-Ressource (XVI, 254 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 461 Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors Computer Science Information Storage and Retrieval Data Structures, Cryptology and Information Theory Data Structures Computer science Data structures (Computer science) Information storage and retrieval Information Retrieval (DE-588)4072803-1 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s 1\p DE-604 Frieder, Ophir aut Erscheint auch als Druck-Ausgabe 9781461375326 https://doi.org/10.1007/978-1-4615-5539-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Grossman, David A. Frieder, Ophir Information Retrieval Algorithms and Heuristics Computer Science Information Storage and Retrieval Data Structures, Cryptology and Information Theory Data Structures Computer science Data structures (Computer science) Information storage and retrieval 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_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 | Computer Science Information Storage and Retrieval Data Structures, Cryptology and Information Theory Data Structures Computer science Data structures (Computer science) Information storage and retrieval Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Computer Science Information Storage and Retrieval Data Structures, Cryptology and Information Theory Data Structures Computer science Data structures (Computer science) Information storage and retrieval Information Retrieval |
| url | https://doi.org/10.1007/978-1-4615-5539-1 |
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