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Lopez-Pujalte, Cristina; Guerrero Bote, Vicente P.; Moya Anegon, Felix de – Information Processing & Management, 2002
Discussion of information retrieval, query optimization techniques, and relevance feedback focuses on genetic algorithms, which are derived from artificial intelligence techniques. Describes an evaluation of different genetic algorithms using a residual collection method and compares results with the Ide dec-hi method (Salton and Buckley, 1990…
Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Evaluation Methods

Frants, Valery I.; Shapiro, Jacob – Journal of the American Society for Information Science, 1991
Discussion of the problem of control in documentary information retrieval (IR) systems focuses on feedback mechanisms. Information needs are discussed, particularly the Problem Oriented Information Need (POIN); the structure of an adaptive IR system is described; and the design of algorithms for automated IR systems is explained. (33 references)…
Descriptors: Algorithms, Computer System Design, Documentation, Evaluation Methods

Losee, Robert – Journal of the American Society for Information Science, 1987
Presents a coordination level matching algorithm to be used in document retrieval systems that incorporate relevance feedback strategies. It is argued that this algorithm may eliminate the need for the frequent reevaluation of documents that is currently found in such systems, and conditions under which reranking is unnecessary are given.…
Descriptors: Algorithms, Estimation (Mathematics), Evaluation Criteria, Feedback

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

Vigil, Peter J. – Online Review, 1983
Analytical methods for facilitating comparison of multiple sets during online searching are illustrated by description of specific searching methods that eliminate duplicate citations and a factoring procedure based on syntactic relationships that establishes ranked sets. Searches executed in National Center for Mental Health database on…
Descriptors: Algorithms, Databases, Feedback, Information Retrieval

Frants, Valery I.; And Others – Journal of the American Society for Information Science, 1993
Discusses the design of multiversion information retrieval systems and provides a theoretical justification for the necessity of creating such systems to perform an optimal search for the user's information needs. Topics discussed include comparing query formulations; feedback algorithms; an experiment with a test collection; and the mechanism of…
Descriptors: Algorithms, Comparative Analysis, Feedback, Information Retrieval
Salton, Gerard – 1974
The twenty-second in a series, this report describes research in information organization and retrieval conducted by the Department of Computer Science at Cornell University. The report covers work carried out during the period summer 1972 through summer 1974 and is divided into four parts: indexing theory, automatic content analysis, feedback…
Descriptors: Algorithms, Computer Programs, Computer Science, Content Analysis

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