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| Algorithms | 6 |
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| Online Systems | 6 |
| Information Retrieval | 5 |
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| Information Processing and… | 6 |
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| Danilowicz, Czeslaw | 2 |
| Choros, Kazimierz | 1 |
| Devine, K. | 1 |
| Gordon, Michael D. | 1 |
| Kropp, D. | 1 |
| Rousseau, Ronald | 1 |
| Smith, F. J. | 1 |
| Walch, G. | 1 |
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| Journal Articles | 6 |
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Peer reviewedRousseau, Ronald – Information Processing and Management, 1985
Presents a modification function for weights of descriptors for documents in fuzzy retrieval systems which includes some desirable properties that are lacking in the model proposed by Choros and Danilowicz in their study on relative indexing. (MBR)
Descriptors: Algorithms, Indexing, Information Retrieval, Online Systems
Peer reviewedDanilowicz, Czeslaw – Information Processing and Management, 1983
Presents principles for determining profile of a system user based on analysis of co-occurrence of index terms in queries and pertinent documents. A procedure for determining index term weights, the information value of which depends on the degree of homogeneity of system users, is introduced. Three references are cited. (EJS)
Descriptors: Algorithms, Indexing, Information Retrieval, Information Systems
Peer reviewedKropp, D.; Walch, G. – Information Processing and Management, 1981
Describes an indexing technique based on overlapping word fragments as reference strings that are linked in a directed graph structure which makes possible exact match-, partial match-, and masked-partial match-retrieval and indicates search strategies for each case. Eight figures, two tables, and nine references are provided. (RBF)
Descriptors: Algorithms, Computer Programs, Coordinate Indexes, Indexing
Peer reviewedGordon, Michael D. – Information Processing and Management, 1991
Presents a theoretical rationale for employing a form of information retrieval algorithm that helps searchers better navigate through large document collections by continually revising probability estimates for document subsets. The algorithm avoids assumptions of index term independence and predicts relevance more accurately with increasing…
Descriptors: Algorithms, Feedback, Indexing, Information Needs
Peer reviewedSmith, F. J.; Devine, K. – Information Processing and Management, 1985
Zipfian laws for frequency distributions of word pairs and longer phrases are derived from text sample analysis. From crossing of Zipfian curves, it is deduced that number of multi-word phrases that occur frequently in text is surprisingly small, of same order of magnitude as number of individual word-types. (8 references) (EJS)
Descriptors: Algorithms, Graphs, Indexing, Information Retrieval
Peer reviewedChoros, Kazimierz; Danilowicz, Czeslaw – Information Processing and Management, 1982
Discusses methods of weighting of descriptors in document search patterns together with the concept of relative indexing and conditions which should be satisfied by descriptor weight. A procedure for modifiying document search patterns based on users' informational needs and opinions is outlined, and examples are given. Sixteen references are…
Descriptors: Algorithms, Indexing, Information Retrieval, Information Seeking


