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Benoit, G. – Journal of the American Society for Information Science and Technology, 2002
Describes an information retrieval, visualization, and manipulation model which offers the user multiple ways to exploit the retrieval set, based on weighted query terms, via an interactive interface. Outlines the mathematical model and describes an information retrieval application built on the model to search structured and full-text files.…
Descriptors: Computer Interfaces, Information Retrieval, Mathematical Formulas, Mathematical Models
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Mazur, Zygmunt – Information Processing and Management, 1984
Investigates the properties of a global model consisting of "n" local information retrieval systems based on thesaurus. Definitions of a distributed information retrieval system (thesaurus, documents set, set of queries) and proofs of theorems denoting further properties of the systems are highlighted. Five references are included. (EJS)
Descriptors: Information Retrieval, Information Systems, Mathematical Formulas, Mathematical Models
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Bookstein, Abraham; And Others – Information Processing and Management, 1992
Describes the use of loglinear statistical models in the field of informetrics, especially for the analysis of information systems. A detailed example is given of developing a model based on loglinear analysis to determine book acquisition patterns in libraries, including mathematical considerations and algorithms. (19 references) (LRW)
Descriptors: Algorithms, Information Retrieval, Information Science, Information Systems
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Mazur, Zygmunt – Information Processing and Management, 1994
Discusses distributed information retrieval systems that take into account the weights of descriptors from thesauri. Topics addressed include a mathematical model for information retrieval subsystems; organization of inverted files; models for the distributed homogeneous information systems; a distributed information retrieval system based on…
Descriptors: Computer Networks, Information Retrieval, Information Systems, Mathematical Formulas
Peer reviewed Peer reviewed
Fuhr, Norbert – Information Processing and Management, 1989
Describes three models for probabilistic indexing, all based on the Darmstadt automatic indexing approach, and presents experimental evaluation results for each. The discussion covers the improved retrieval effectiveness of probabilistic indexing over binary indexing, and suggestions for using this automatic indexing method with free text terms.…
Descriptors: Automatic Indexing, Comparative Analysis, Information Retrieval, Mathematical Formulas
Ross, Arun; Owen, Charles B.; Vailaya, Aditya – 2000
This paper focuses on clustering a World Wide Web site (i.e., the 1998 World Cup Soccer site) into groups of documents that are predictive of future user accesses. Two approaches were developed and tested. The first approach uses semantic information inherent in the documents to facilitate the clustering process. User access history is then used…
Descriptors: Access to Information, Cluster Analysis, Cluster Grouping, Information Retrieval