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Readings in Information Retrieval (The Morgan Kaufmann Series in Multimedia Information and Systems)
 
 
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Readings in Information Retrieval (The Morgan Kaufmann Series in Multimedia Information and Systems) (Paperback)

~ (Editor), Peter Willett (Editor) "Computers had only been in existence for a few years before it was realised that they could be used for the implementation of what we..." (more)
Key Phrases: human categorizers, subject knowledge view, subject literature view, Sparck Jones, New York, Computing Machinery (more...)
5.0 out of 5 stars  See all reviews (1 customer review)


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Editorial Reviews

Review

"This is a marvelous collection. The papers have been selected with care, and provide an unprecedented concentration of knowledge about information retrieval. The introductory material, by two of the leading researchers in IR, is itself a valuable reference to the history and status of the field and the important ideas in it. This book will instantly become the most important reference in the field."
—David D. Lewis, AT&T Labs -- Review

This is a marvelous collection. The papers have been selected with care, and provide an unprecedented concentration of knowledge about information retrieval. The introductory material, by two of the leading researchers in IR, is itself a valuable reference to the history and status of the field and the important ideas in it. This book will instantly become the most important reference in the field. -- David D. Lewis, AT&T Labs


Review

"This is a marvelous collection. The papers have been selected with care, and provide an unprecedented concentration of knowledge about information retrieval. The introductory material, by two of the leading researchers in IR, is itself a valuable reference to the history and status of the field and the important ideas in it. This book will instantly become the most important reference in the field."
--David D. Lewis, AT&T Labs

Product Details

  • Paperback: 587 pages
  • Publisher: Morgan Kaufmann; 1 edition (July 15, 1997)
  • Language: English
  • ISBN-10: 1558604545
  • ISBN-13: 978-1558604544
  • Product Dimensions: 10.9 x 8.5 x 1.1 inches
  • Shipping Weight: 3.2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.com Sales Rank: #1,366,092 in Books (See Bestsellers in Books)

    Popular in this category: (What's this?)

    #31 in  Books > Nonfiction > Social Sciences > Library & Information Science > Information Storage & Retrieval

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Inside This Book (learn more)
First Sentence:
Computers had only been in existence for a few years before it was realised that they could be used for the implementation of what we would now refer to as a database, i.e., a set of linked files and associated software for the maintenance and the searching of the information contained within those files. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
human categorizers, subject knowledge view, subject literature view, vector processing model, document cutoff, mechanised documentation, normalized recall ratio, nonrelevant items, main centroid, robust text processing, term index languages, pertinence view, bilingual transfer dictionary, experimental retrieval systems, adhoc task, information retrieval experimentation, naive methodology, link matrix forms, relevance feedback operation, bottom level clusters, inference network model, strong stemming, exhaustive indexing, precision failures, trieved items
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sparck Jones, New York, Computing Machinery, American Documentation, Englewood Cliffs, British Library, Cornell University, City University, San Francisco, Annual Meeting, National Library of Medicine, University of Cambridge, Boolean Uniques, Computer Laboratory, Lawrence Erlbaum, Library Research, National Science Foundation, Prentice Hall, Morgan Kaufmann, Index Medicus, Scientific Information, Applied Natural Language Processing, Bruce Croft, Indira Gandhi, Aslib Cranfield
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This book cites 26 books:
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6 of 7 people found the following review helpful:
5.0 out of 5 stars The best collection of IR publications I ever read, October 28, 1999
By A Customer
This book contains many high level, concise and relevant documents. The publications cover many aspects of IR from liguistic algorithms or suggetions to actual testing systems. When is the sequel coming out?
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