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Gordon, 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 reviewed Peer reviewed
Gordon, Michael D. – Information Processing and Management, 1988
Describes the three subsystems of an information retrieval system (document descriptions, queries, and matching algorithms) and argues that the interdependency of these subsystems requires adaptation for the system to perform when any component changes. An algorithm for redescribing documents, in response to changes in queries and retrieval rules,…
Descriptors: Algorithms, Feedback, Information Retrieval, Models
Peer reviewed Peer reviewed
Salton, G.; And Others – Information Processing and Management, 1984
Evaluates and compares two recently proposed automatic methods for relevance feedback of Boolean queries (Dillon method, which uses probabilistic approach as basis, and disjunctive normal form method). Conclusions are drawn concerning the use of effective feedback methods in a Boolean query environment. Nineteen references are included. (EJS)
Descriptors: Algorithms, Comparative Analysis, Equations (Mathematics), Feedback