Document (#20081)

Editor

Sparck Jones, K. u. P. Willett

Title

Readings in information retrieval

Imprint

San Francisco : Morgan Kaufmann

Year

1997

Pages

XV,589 S

Isbn

1-55860-454-5

Abstract

Contains 9 chapters with introductions and references and 50 articles (Wiederabdruck)

Content

JOYCE, T. u. R.M. NEEDHAM: The thesaurus approach to information retrieval; LUHN, H.P.: The automatic derivation of information retrieval encodements from machine-readable texts; DOYLE, L.B.: Indexing and abstracting by association. Part 1; MARON, M.E. u. J.L. KUHNS: On relevance, probabilistic indexing and information retrieval; CLEVERDON, C.W.: The Cranfield test on index language devices; SALTON, G. u. M.E. LESK: Computer evaluation of indexing and text processing; HUTCHINS, W.J.: The concept of 'aboutness' in subject indexing; CLEVERDON, C.W. u. J. MILLS: The testing of index language devices; FOSKETT, D.J.: Thesaurus; DANIELS, P.J. u.a.: Using problem structures for driving human-computer dialogues; SARACEVIC, T.: Relevance: a review of and a framwork for thinking on the notion in information science; SARACEVIC, T. u.a. A study of information seeking and retrieving: I. Background and methodology; COOPER, W.S.: On selecting a measure of retrieval effectiveness, revisited; TAGEU-SUTCLIFFE, J.: The pragmatics of information retrieval experimentation, revisited; KEEN, E.M.: Presenting results of experimental retrieval comparisons; LANCASTER, F.W.: MEDLARS: report on the evaluation of its operating efficiency; HARMAN, D.K.: The TREC conferences; COOPER, W.S.: Getting beyond Boole; RIJSBERGEN, C.J. van: A non-classical logic for information retrieval; SALTON, G. u.a.: A vector space model for automatic indexing; ROBERTSON, S.E.: The probability ranking principle in IR; TURTLE, H. u. W.B. CROFT: Inference networks for document retrieval; BELKIN, N.J. u.a.: Ask for information retrieval: Part 1. Background and theory; PORTER, M.F.: Am algortihm for suffix stripping; SALTON, G. u. C. BUCKLEY: Term-weighting approaches in automatic text retrieval; SPRACK JONES, K.: Search term relevance weighting given little relevance information; CROFT, W.B. u. D.J. HARPER: Using probabilistic models of document retrieval without relevance information; ROBERTSON, S.E. u. S. WALKER: Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval; SALTON, G. u. C. BUCKLEY: Improving retrieval performance by relevance feedback; GRIFFITHS, A. u.a.: Using interdocument similarity information in document retrieval systems; SALTON, G. u. M.J. McGILL: The SMART and SIRE experimental retrieval systems; FOX, E.A. u. R.K. FRANCE: Architecture of an expert system for composite analysis, representation, and retrieval; HARMAN, D.: User-friendly systems instead of user-friendly front ends; WALKER, S.: The Okapi online catalogue research projects; CALLAN, J. u.a.: TREC and TIPSTER experiments with INQUERY; McCUNE, B. u.a.: RUBRIC: a system for rule-based information retrieval; TENOPIR, C. u. P. CAHN: TARGET and FREESTYLE: DIALOG and Mead join the relevance ranks; AGOSTI, M. u.a.: A hypertext environment for interacting with large databases; HULL, D.A. u. G. GREFENSTETTE: Querying across languages: a dictionary-based approach to multilingual information retrieval; SALTON, G. u.a.: Automatic analysis, theme generation, and summarization of machine-readable texts; SPARCK JONES, K. u.a.: Experiments in spoken document retrieval; ZHANG, H.J. u.a.: Video parsing, retrieval and browsing: an integrated and cantent-based solution; BIEBRICHER, N. u.a.: The automatic indexing system AIR/PHYS: from research to application; STRZALKOWSKI, T.: Robust text processing in automated information retrieval; HAYES, P.J. u.a.: A news story categorization system; RAU, L.F.: Conceptual information extraction and retrieval from natural language input; MARSH, E.: A production rule system for message summarisation; JOHNSON, F.C. u.a.: The application of linguistic processing to automatic abstract generation; SWANSON, D.R.: Historical note: information retrieval and the future of an illusion

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