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| Indexing | 5 |
| Information Systems | 5 |
| Mathematical Models | 5 |
| Information Retrieval | 4 |
| Information Needs | 2 |
| Online Systems | 2 |
| Relevance (Information… | 2 |
| Automation | 1 |
| Databases | 1 |
| Documentation | 1 |
| Evaluation Criteria | 1 |
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Author
| Bird, P. R. | 1 |
| Bookstein, Abraham | 1 |
| Losee, Robert M. | 1 |
| Maron, M. E. | 1 |
| Parker, Lorraine M. Purgailis | 1 |
| Swanson, Don R. | 1 |
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| Journal Articles | 3 |
| Reports - Research | 3 |
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Peer reviewedBookstein, Abraham; Swanson, Don R. – Journal of the American Society for Information Science, 1975
A model of word occurrences in documents is presented in the context of a model information system. (Author/PF)
Descriptors: Indexing, Information Retrieval, Information Systems, Mathematical Models
Peer reviewedBird, P. R. – Journal of Documentation, 1974
The indexing depth in several documentation systems is shown to have a mixed Poisson distribution. (PF)
Descriptors: Documentation, Indexing, Information Systems, Mathematical Models
Peer reviewedMaron, M. E. – Journal of the American Society for Information Science, 1979
An analysis of the question of the optimal depth of indexing in order to design an effective document retrieval system is presented. It is shown that some more fundamental questions about indexing and retrieval rather than indexing depth are central to the issue. (Author/MBR)
Descriptors: Indexing, Information Retrieval, Information Systems, Mathematical Models
Peer reviewedParker, Lorraine M. Purgailis – Journal of the American Society for Information Science, 1983
The mathematical model proposed describes a computerized bibliographic information system which includes a method--document learning--of improving the set of index terms assigned to a document representative. Inputs to the information system (index terms and query), relevance feedback, and assumptions concerning the model are discussed.…
Descriptors: Automation, Databases, Indexing, Information Needs
Peer reviewedLosee, Robert M. – Information Processing and Management, 1991
Provides a method for estimating precision without examining individual database documents, which requires knowledge of only the query or expressed information need and a set of database parameters constant for all queries. Concepts of historic and expected precision are examined, and applications of precision-document graphs are assessed. (36…
Descriptors: Evaluation Criteria, Expert Systems, Hypermedia, Indexing
