One approach to classification of users and automatic clustering of documents
Autor: | Jacob Shapiro, Nick I. Kamenoff, Valery I. Frants |
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Rok vydání: | 1993 |
Předmět: |
Information retrieval
Computer science Information needs Construct (python library) Library and Information Sciences Management Science and Operations Research computer.software_genre Feedback regulation Cross-reference Expert system Computer Science Applications ComputingMethodologies_PATTERNRECOGNITION Media Technology Cluster grouping Cluster analysis computer Information Systems |
Zdroj: | Information Processing & Management. 29:187-195 |
ISSN: | 0306-4573 |
DOI: | 10.1016/0306-4573(93)90002-u |
Popis: | This paper shows how to automatically construct a classification of users and a clustering of documents on the basis of users' information needs, that is, how to create clusters of documents and cross references among clusters using users' search requests. The paper also addresses a question of feedback in the construction of this classification and clustering so that the classification can be changed over time to reflect the changing needs of the users. |
Databáze: | OpenAIRE |
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