NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
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
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