Classification Clustering, Probabilistic Information Retrieval, and the Online Catalog.
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| Title: | Classification Clustering, Probabilistic Information Retrieval, and the Online Catalog. |
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| Language: | English |
| Authors: | Larson, Ray R. |
| Source: | Library Quarterly. Apr 1991 61(2):133-173. |
| Peer Reviewed: | Y |
| Page Count: | 41 |
| Publication Date: | 1991 |
| Document Type: | Journal Articles Information Analyses Opinion Papers Reports - Descriptive |
| Descriptors: | Classification, Information Retrieval, Library Catalogs, Online Catalogs, Problems, Research Needs, Subject Index Terms |
| ISSN: | 0024-2519 |
| Abstract: | Discusses problems with subject searches in online library catalogs and examines theoretical principles for the design of effective information retrieval systems. Probabilistic ranking methods are discussed, and an experimental online catalog called CHESHIRE is described. It is noted that CHESHIRE uses classification clustering, provides natural language searching, and prevents the retrieval of too much material. (95 references) (LRW) |
| Entry Date: | 1991 |
| Accession Number: | EJ426065 |
| Database: | ERIC |
| Abstract: | Discusses problems with subject searches in online library catalogs and examines theoretical principles for the design of effective information retrieval systems. Probabilistic ranking methods are discussed, and an experimental online catalog called CHESHIRE is described. It is noted that CHESHIRE uses classification clustering, provides natural language searching, and prevents the retrieval of too much material. (95 references) (LRW) |
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| ISSN: | 0024-2519 |
