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970409t19971997caum b a001 0 eng |
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|a 97018612
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|a BA31836024
|2 JP-ToKJK
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|a 1558604545
|q (pbk.)
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|a 9781558604544
|q (pbk.)
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|a 9781558604544
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035 |
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|a (OCoLC)36798066
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040 |
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|a DLC
|b eng
|c DLC
|d LVB
|d BAKER
|d NLGGC
|d BTCTA
|d YDXCP
|d OCLCG
|d YOM
|d HEBIS
|d DEBBG
|d OCLCQ
|d ZWZ
|d DEBSZ
|d OCLCQ
|d BDX
|d GBVCP
|d OCLCO
|d OCLCF
|d BEDGE
|d OCLCQ
|d FC@
|d UEJ
|d OCLCQ
|d OCLCO
|d INT
|d OCLCQ
|d UKUOY
|d IOG
|d OCLCQ
|d UtOrBLW
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049 |
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|a SCLL
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050 |
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4 |
|a Z695.9 .R43 1997
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245 |
0 |
0 |
|a Readings in information retrieval /
|c edited by Karen Sparck Jones, Peter Willett.
|
264 |
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1 |
|a San Francisco, Calif. :
|b Morgan Kaufman,
|c [1997]
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264 |
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4 |
|c ©1997
|
300 |
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|a xv, 589 pages :
|b illustrations ;
|c 28 cm.
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a unmediated
|b n
|2 rdamedia
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338 |
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|a volume
|b nc
|2 rdacarrier
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340 |
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|p illustration
|2 rdaill
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490 |
1 |
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|a Morgan Kaufmann series in multimedia information and systems
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504 |
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|a Includes bibliographical references and indexes.
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505 |
0 |
|
|t Preface --
|t Acknowledgements --
|g Ch. 1
|t Overall introduction
|g (starting p. 1) --
|g Ch. 2
|t History
|g (starting p. 9) --
|t The Thesaurus Approach to Information Retrieval
|g (starting p. 15) /
|r R. M. Needham, T. Joyce --
|t The Automatic Derivation of Information Retrieval Encodements from Machine-Readable Texts
|g (starting p. 21) /
|r H. P. Luhn --
|t Indexing and Abstracting by Association. Part I
|g (starting p. 25) /
|r L. B. Doyle --
|t On Relevance, Probabilistic Indexing and Information Retrieval
|g (starting p. 39) /
|r M. E. Maron, J. L. Kuhns --
|t The Cranfield Tests on Index Language Devices
|g (starting p. 47) /
|r C. W. Cleverdon --
|t Computer Evaluation of Indexing and Text Processing
|g (starting p. 60) /
|r G. Salton, M. E. Lesk --
|g Ch. 3
|t Key Concepts
|g (starting p. 85) --
|t The Concept of "Aboutness" in Subject Indexing
|g (starting p. 93) /
|r W. J. Hutchins --
|t The Testing of Index Language Devices
|g (starting p. 98) /
|r C. W. Cleverdon, J. Mills --
|t Thesaurus
|g (starting p. 111) /
|r D. J. Foskett --
|t Using Problem Structures for Driving Human-Computer Dialogues
|g (starting p. 135) /
|r P. J. Daniels, H. M. Brooks, N. J. Belkin --
|t Relevance: A Review of and a Framework for Thinking on the Notion in Information Science
|g (starting p. 143) /
|r T. Saracevic --
|g Ch. 4
|t Evaluation
|g (starting p. 167) --
|t A Study of Information Seeking and Retrieving. I. Background and Methodology
|g (starting p. 175) /
|r T. Saracevic, P. Kantor, A. Y. Chamis --
|t On Selecting a Measure of Retrieval Effectiveness, Part I
|g (starting p. 191) /
|r W. S. Cooper --
|t The Pragmatics of Information Retrieval Experimentation, Revisited
|g (starting p. 205) /
|r J. Tague-Sutcliffe --
|t Presenting Results of Experimental Retrieval Comparisons
|g (starting p. 217) /
|r E. M. Keen --
|t MEDLARS: Report on the Evaluation of Its Operating Efficiency
|g (starting p. 223) /
|r F. W. Lancaster --
|t The TREC Conferences
|g (starting p. 247) /
|r D. K. Harman --
|g Ch. 5
|t Models
|g (starting p. 257) --
|t Getting Beyond Boole
|g (starting p. 265) /
|r W. S. Cooper --
|t A Non-Classical Logic for Information Retrieval
|g (starting p. 268) /
|r C. J. van Rijsbergen --
|t A Vector Space Model for Automatic Indexing
|g (starting p. 273) /
|r G. Salton, A. Wong, C. S. Yang --
|t The Probability Ranking Principle in IR
|g (starting p. 281) /
|r S. E. Robertson --
|t Inference Networks for Document Retrieval
|g (starting p. 287) /
|r H. Turtle, W. B. Croft --
|t ASK for Information Retrieval. Part I. Background and Theory
|g (starting p. 299) /
|r N. J. Belkin, R. N. Oddy, H. M. Brooks --
|g Ch. 6
|t Techniques
|g (starting p. 305) --
|t An Algorithm for Suffix Stripping
|g (starting p. 313) /
|r M. F. Porter --
|t Robust Text Processing in Automated Information Retrieval
|g (starting p. 317) /
|r T. Strzalkowski --
|t Term-Weighting Approaches in Automatic Text Retrieval
|g (starting p. 323) /
|r G. Salton, C. Buckley --
|t Search Term Relevance Weighting Given Little Relevance Information
|g (starting p. 329) /
|r K. Sparck Jones --
|t Using Probabilistic Models of Document Retrieval without Relevance Information
|g (starting p. 339) /
|r W. B. Croft, D. J. Harper --
|t Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
|g (starting p. 345) /
|r S. E. Robertson, S. Walker --
|t Improving Retrieval Performance by Relevance Feedback
|g (starting p. 355) /
|r G. Salton, C. Buckley --
|t Using Interdocument Similarity Information in Document Retrieval Systems
|g (starting p. 365) /
|r A. Griffiths, H. C. Luckhurst, P. Willett --
|g Ch. 7
|t Systems
|g (starting p. 375) --
|t The SMART and SIRE Experimental Retrieval Systems
|g (starting p. 381) /
|r G. Salton, M. J. McGill --
|t Architecture of an Expert System for Composite Document Analysis, Representation, and Retrieval
|g (starting p. 400) /
|r E. A. Fox, R. K. France --
|t User-Friendly Systems Instead of User-Friendly Front-Ends
|g (starting p. 413) /
|r D. K. Harman --
|t The Okapi Online Catalogue Research Projects
|g (starting p. 424) /
|r S. Walker --
|t TREC and TIPSTER Experiments with INQUERY
|g (starting p. 436) /
|r J. P. Callan, W. B. Croft, J. S. Broglio --
|t RUBRIC: A System for Rule-Based Information Retrieval
|g (starting p. 440) /
|r B. P. McCune, R. M. Tong, J. Dean --
|t TARGET and FREESTYLE: DIALOG and Mead Join the Relevance Ranks
|g (starting p. 446) /
|r C. Tenopir, P. Cahn --
|g Ch. 8
|t Extensions
|g (starting p. 457) --
|t A Hypertext Environment for Interacting with Large Databases
|g (starting p. 469) /
|r M. Agosti, G. Gradenigo, P. G. Marchetti --
|t Automatic Analysis, Theme Generation, and Summarization of Machine-Readable Texts
|g (starting p. 478) /
|r G. Salton, J. Allan, C. Buckley --
|t Querying Across Languages: A Dictionary-Based Approach to Multilingual Information Retrieval
|g (starting p. 484) /
|r D. A. Hull, G. Grefenstette --
|t Experiments in Spoken Document Retrieval
|g (starting p. 493) /
|r K. Sparck Jones, G. J. F. Jones, J. T. Foote --
|t Video Parsing, Retrieval and Browsing: An Integrated and Content-Based Solution
|g (starting p. 503) /
|r H. J. Zhang, C. Y. Low, S. W. Smoliar --
|t The Automatic Indexing System AIR/PHYS -- From Research to Application
|g (starting p. 513) /
|r P. Biebricher, N. Fuhr, G. Lustig --
|t A News Story Categorization System
|g (starting p. 518) /
|r P. J. Hayes, L. E. Knecht, M. J. Cellio --
|t Conceptual Information Extraction and Retrieval from Natural Language Input
|g (starting p. 527) /
|r L. F. Rau --
|t A Production Rule System for Message Summarization
|g (starting p. 534) /
|r E. Marsh, H. Hamburger, R. Grishman --
|t The Application of Linguistic Processing to Automatic Abstract Generation
|g (starting p. 538) /
|r F. C. Johnson, C. D. Paice, W. J. Black --
|g Ch. 9
|t Envoi
|g (starting p. 553) --
|t Historical Note: Information Retrieval and the Future of an Illusion
|g (starting p. 555) /
|r D. R. Swanson --
|t Author Index
|g (starting p. 563) --
|t Subject Index
|g (starting p. 567)
|
650 |
|
0 |
|a Information retrieval.
|0 sh 85066148
|
650 |
|
0 |
|a Information storage and retrieval systems.
|0 sh 85066163
|
700 |
1 |
|
|a Sparck Jones, Karen,
|d 1935-2007.
|0 n 50021679
|
700 |
1 |
|
|a Willett, Peter,
|d 1953-
|0 n 85243210
|
830 |
|
0 |
|a Morgan Kaufmann series in multimedia information and systems.
|0 no 96029044
|0 no 96029044
|
907 |
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