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Peer reviewedRousseau, Ronald – Journal of the American Society for Information Science, 1992
Proposes a mathematical model to explain the observed concentration or diversity of nominal classes in information retrieval systems. The Lorenz Curve is discussed, Information Production Process (IPP) is explained, and a heuristic explanation of circumstances in which the model might be used is offered. (30 references) (LRW)
Descriptors: Heuristics, Information Retrieval, Mathematical Models, Research Needs
Peer reviewedFuhr, Norbert; Huther, Hubert – Information Processing and Management, 1989
Discusses the interdependencies between parameter estimation and properties of probabilistic models, such as dependency assumptions, binary vs. nonbinary features, and estimation sample selection. An optimum estimation for binary features applicable to information retrieval is defined, a method for computing this estimation using empirical data is…
Descriptors: Estimation (Mathematics), Information Retrieval, Mathematical Models, Predictor Variables
Peer reviewedFedorowicz, Jane – Journal of the American Society for Information Science, 1982
Derives the underlying structure of the Zipf distribution, with emphasis on its application to word frequencies in the inverted files of automatic bibliographic systems, and applies the Zipfian model to the National Library of Medicine's MEDLINE database. An appendix on the Zipfian mean and 12 references are included. (Author/JL)
Descriptors: Citations (References), Databases, Information Retrieval, Mathematical Models
Peer reviewedSalton, Gerard; Buckley, Christopher – Information Processing and Management, 1988
Summarizes the experimental evidence that indicates that text indexing systems based on the assignment of appropriately weighted single terms produce retrieval results superior to those obtained with more elaborate text representations, and provides baseline single term indexing models with which more elaborate content analysis procedures can be…
Descriptors: Automatic Indexing, Comparative Analysis, Content Analysis, Information Retrieval
Peer reviewedWolfram, Dietmar – Information Processing and Management, 1992
Examines how informetric characteristics of information retrieval (IR) system databases can be used to help system designers decide what type of file structures would provide the best performance. The development of appropriate models describing database contents is highlighted in this first part of a two-part study. (30 references) (LRW)
Descriptors: Computer System Design, Database Design, Databases, Foreign Countries
Peer reviewedWolfram, Dietmar – Information Processing and Management, 1992
This second report on a two-part study on the application of informetrics to information retrieval (IR) system design used models of database contents in a factorial simulation study at the University of Western Ontario. The study explored whether different file structures were better suited for different informetric environments. (32 references)…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Simulation, Computer System Design
