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  1. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.05
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    Date
    22. 7.2006 18:43:54
    Source
    Journal of the American Society for Information Science. 41(1990) no.4, S.272-281
  2. Robertson, S.: On the history of evaluation in IR (2009) 0.05
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    Abstract
    This paper is a personal take on the history of evaluation experiments in information retrieval. It describes some of the early experiments that were formative in our understanding, and goes on to discuss the current dominance of TREC (the Text REtrieval Conference) and to assess its impact.
    Source
    Information science in transition, Ed.: A. Gilchrist
  3. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.03
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    Pages
    S.22-25
    Series
    Proceedings of the American Society for Information Science; vol. 20
  4. Davis, C.H.: From document retrieval to Web browsing : some universal concerns (1997) 0.03
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    Abstract
    Computer based systems can produce enourmous retrieval sets even when good search logic is used. Sometimes this is desirable, more often it is not. Appropriate filters can limit search results, but they represent only a partial solution. Simple ranking techniques are needed that are both effective and easily understood by the humans doing the searching. Optimal search output, whether from a traditional database or the Internet, will result when intuitive interfaces are designed that inspire confidence while making the necessary mathematics transparent. Weighted term searching using powers of 2, a technique proposed early in the history of information retrieval, can be simplifies and used in combination with modern graphics and textual input to achieve these results
    Source
    Journal of information; communication; and library science. 3(1997) no.3, S.3-10
  5. Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996) 0.02
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    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
  6. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.02
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    Abstract
    A study was done to test the effectiveness of retrieval using title word searching. It was based on actual search profiles used in the Mechanized Information Center at Ohio State University, in order ro replicate as closely as possible actual searching conditions. Fewer than 50% of the relevant titles were retrieved by keywords in titles. The low rate of retrieval can be attributes to three sources: titles themselves, user and information specialist ignorance of the subject vocabulary in use, and to general language problems. Across fields it was found that the social sciences had the best retrieval rate, with science having the next best, and arts and humanities the lowest. Ways to enhance and supplement keyword in title searching on the computer and in printed indexes are discussed.
    Date
    14. 3.1996 13:22:21
  7. Brown, M.E.: By any other name : accounting for failure in the naming of subject categories (1995) 0.02
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    Date
    2.11.1996 13:08:22
    Source
    Library and information science research. 17(1995) no.4, S.347-385
  8. Saracevic, T.: Effects of inconsistent relevance judgments on information retrieval test results : a historical perspective (2008) 0.02
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    Abstract
    The main objective of information retrieval (IR) systems is to retrieve information or information objects relevant to user requests and possible needs. In IR tests, retrieval effectiveness is established by comparing IR systems retrievals (systems relevance) with users' or user surrogates' assessments (user relevance), where user relevance is treated as the gold standard for performance evaluation. Relevance is a human notion, and establishing relevance by humans is fraught with a number of problems-inconsistency in judgment being one of them. The aim of this critical review is to explore the relationship between relevance on the one hand and testing of IR systems and procedures on the other. Critics of IR tests raised the issue of validity of the IR tests because they were based on relevance judgments that are inconsistent. This review traces and synthesizes experimental studies dealing with (1) inconsistency of relevance judgments by people, (2) effects of such inconsistency on results of IR tests and (3) reasons for retrieval failures. A historical context for these studies and for IR testing is provided including an assessment of Lancaster's (1969) evaluation of MEDLARS and its unique place in the history of IR evaluation.
    Content
    Beitrag in einem Themenheft 'The Influence of F. W. Lancaster on Information Science and on Libraries', das als Festschrift für F.W. Lancaster deklariert ist.
  9. Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.02
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    Date
    22. 9.1997 19:16:05
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
    Source
    Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
  10. TREC: experiment and evaluation in information retrieval (2005) 0.02
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    Abstract
    The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.
    Footnote
    Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.
    ... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."
    LCSH
    Text processing (Computer science) / Congresses
    Subject
    Text processing (Computer science) / Congresses
  11. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.02
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    Date
    9. 1.1996 10:22:31
    Source
    ASIS'89. Managing information and technology. Proceedings of the 52nd annual meeting of the American Society for Information Science, Washington D.C., 30.10.-2.11.1989. Vol.26. Ed.by J. Katzer and G.B. Newby
  12. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.02
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    Source
    Journal of information science. 22(1996) no.2, S.79-92
  13. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.02
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    Date
    9. 2.1997 18:44:22
    Source
    Journal of librarianship and information science. 32(2000) no.1, S.4-8
  14. King, D.W.: Blazing new trails : in celebration of an audacious career (2000) 0.02
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    Date
    22. 9.1997 19:16:05
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
  15. Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.02
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    Date
    22. 1.2011 14:20:56
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.375-394
  16. Feng, S.: ¬A comparative study of indexing languages in single and multidatabase searching (1989) 0.01
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    Abstract
    An experiment was conducted using 3 data bases in library and information science - Library and Information Science Abstracts (LISA), Information Science Abstracts and ERIC - to investigate some of the main factors affecting on-line searching: effectiveness of search vocabularies, combinations of fields searched, and overlaps among databases. Natural language, controlled vocabulary and a mixture of natural language and controlled terms were tested using different fields of bibliographic records. Also discusses a comparative evaluation of single and multi-data base searching, measuring the overlap among data bases and their influence upon on-line searching.
    Source
    Canadian Journal of Information Science. 14(1989) no.2, S.26-46
  17. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.01
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    Date
    22. 3.2009 18:48:28
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.646-654
  18. Harter, S.P.: Search term combinations and retrieval overlap : a proposed methodology and case study (1990) 0.01
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    Source
    Journal of the American Society for Information Science. 41(1990) no.2, S.132-146
  19. Bernstein, L.M.; Williamson, R.E.: Testing of a natural language retrieval system for a full text knowledge base (1984) 0.01
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    Source
    Journal of the American Society for Information Science. 35(1984), S.235-247
  20. Wilbur, W.J.: Global term weights for document retrieval learned from TREC data (2001) 0.01
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    Source
    Journal of information science. 27(2001) no.5, S.303-310

Authors

Languages

  • e 172
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Types

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  • s 8
  • m 3
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