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Cox, Elizabeth; Czechowski, Leslie – Journal of Archival Organization, 2007
In this research project, the authors set out to discover the current practice in both the archival and cataloging worlds for usage of access points in descriptive records and to learn how archival descriptive practices fit into long-established library cataloging procedures and practices. A sample of archival finding aids and MARC records at 123…
Descriptors: Archives, Indexing, Cataloging, Research Libraries
Franconeri, Steven L.; Alvarez, George A.; Enns, James T. – Journal of Experimental Psychology: Human Perception and Performance, 2007
The visual system uses several tools to select only the most relevant visual information for further processing, including selection by location. In the present study, the authors explored how many locations can be selected at once. Although past evidence from several visual tasks suggests that the visual system can operate on a fixed number of 4…
Descriptors: Attention, Vision, Geographic Location, Selection
Spitzer, Bernhard; Bauml, Karl-Heinz – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2007
Retrieving a subset of previously studied material can impair later recognition of related items. Using the remember-know procedure (Experiment 1) and the receiver operating characteristic procedure (Experiment 2), the authors examined how such retrieval-induced forgetting can be explained in terms of single-process and dual-process accounts of…
Descriptors: Familiarity, Recognition (Psychology), Children, Memory
Peer reviewedMaloney, Ruth Kay – Journal of the American Society for Information Science, 1974
In experimental searches of "Basic Journal Abstracts" using the subject terms from 104 selective dissemination of information profiles, retrieval was found to be significantly worse if only titles were searched rather than the full title and abstract. (PF)
Descriptors: Abstracts, Information Retrieval, Relevance (Information Retrieval), Search Strategies
Peer reviewedRobertson, S. E. – Journal of Documentation, 1974
Poses questions concerning methods of using specificity information in a weighting scheme. (JB)
Descriptors: Documentation, Information Retrieval, Mathematical Models, Relevance (Information Retrieval)
Peer reviewedBivans, Margaret – Special Libraries, 1974
Descriptors: Comparative Analysis, Computers, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedGebhardt, Friedrich – Information Processing and Management, 1975
The model assumes that the relevance assigned to a document by a juror is a random variable. (PF)
Descriptors: Information Retrieval, Mathematical Models, Probability, Relevance (Information Retrieval)
Peer reviewedKraft, Donald H. – Journal of the American Society for Information Science, 1978
A threshold rule is analyzed and compared to the Neyman-Pearson procedure, indicating that the threshold rule provides a necessary but not sufficient measure of the minimal performance of a retrieval system, whereas Neyman-Pearson yields a better apriori decision for retrieval. (Author/MBR)
Descriptors: Evaluation, Information Retrieval, Models, Performance
Farradane, J.; And Others – Information Storage and Retrieval, 1973
The use of a structured system of storing information, particularly relational indexing, can lead to situations in which items would not be retrieved due to technicalities of the system. To overcome such problems a study was made of condensations with the aim of providing a series of rules to apply. (4 references) (Author/SJ)
Descriptors: Indexing, Information Retrieval, Information Storage, Relevance (Information Retrieval)
Seely, Barbara J. – Drexel Library Quarterly, 1972
There are six major studies of the effect of indexing depth on retrieval performance. They differ in purpose, methodology, measures, indexing language, field of study, and data base--nevertheless, all have found depth of indexing to have the same effect upon information retrieval. (13 references) (Author/NH)
Descriptors: Indexing, Information Processing, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedBarker, F. H. – Journal of Documentation, 1972
The work described was designed to test the feasibility of using automatic or semi-automatic methods to replace or reduce the intellectual effort involved in retrieving information from machine readable stores, particularly those using natural language. (Author)
Descriptors: Automation, Information Retrieval, Relevance (Information Retrieval), Search Strategies
Peer reviewedBorlund, Pia – Journal of the American Society for Information Science and Technology, 2003
Introduces the concept of relevance as viewed and applied in the context of IR (information retrieval) evaluation by presenting an overview of the multidimensionality and dynamic nature of the concept. Topics include classes and types of relevance; relevance criteria; degrees of relevance; levels of relevance; situational relevance; and…
Descriptors: Criteria, Information Needs, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedGordon, Michael D.; Lenk, Peter – Journal of the American Society for Information Science, 1991
Discussion of probabilistic information retrieval (IR) systems challenges the probability ranking principle in IR from the perspective of (1) signal detection-decision theory and (2) utility theory. Calibration, certainty, and independent assessment are discussed in terms of the relevance of documents, and standard retrieval policies are analyzed.…
Descriptors: Information Retrieval, Mathematical Formulas, Probability, Relevance (Information Retrieval)
Peer reviewedBurgin, Robert – Information Processing and Management, 1991
Describes results of a study that investigated the effect of variations in indexing exhaustivity on retrieval performance in a vector space retrieval system. The test collection of documents in the National Library of Medicine's Medline file indexed under cystic fibrosis is described, and use of the SMART information retrieval system is discussed.…
Descriptors: Cystic Fibrosis, Indexing, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedLee, Joon Ho – Information Processing & Management, 1998
Discussion of information-retrieval effectiveness focuses on the use of multiple query or document representations, or multiple retrieval techniques, and combining the retrieval results (also known as data fusion). Experimental results with the SMART System (developed at Harvard and Cornell Universities for over 38 years) indicate combining…
Descriptors: Feedback, Information Retrieval, Mathematical Formulas, Relevance (Information Retrieval)

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