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Uratani, Noriyoshi; Takeda, Masayuki – Information Processing and Management, 1993
Describes a string-searching algorithm for multiple patterns in a text string; explains the construction of a pattern-matching machine; presents a theoretical analysis and empirical evidence that supports the sublinearity of the algorithm; and compares this algorithm with the Boyer-Moore algorithm for a single pattern. (Contains 10 references.)…
Descriptors: Algorithms, Comparative Analysis, Information Retrieval, Mathematical Formulas

Hoenkamp, Eduard – Journal of the American Society for Information Science and Technology, 2003
Discusses latent semantic indexing (LSI) that would allow search engines to reduce the dimension of the document space by mapping it into a space spanned by conceptual indices. Topics include vector space models; singular value decomposition (SVD); unitary operators; the Haar transform; and new algorithms. (Author/LRW)
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models

Dominich, Sandor – Journal of Documentation, 1994
Discussion of information retrieval focuses on an Interaction Information Retrieval model in which documents are interconnected; queries and documents are treated in the same way; and retrieval is the result of the interconnection between query and documents. A theoretical mathematical formulation of this type of retrieval is given. (Contains 31…
Descriptors: Algorithms, Documentation, Information Retrieval, Interaction

Mather, Laura A. – Journal of the American Society for Information Science, 2000
Discussion of models for information retrieval focuses on an application of linear algebra to text clustering, namely, a metric for measuring cluster quality based on the theory that cluster quality is proportional to the number of terms that are disjoint across the clusters. Explains term-document matrices and clustering algorithms. (Author/LRW)
Descriptors: Algorithms, Cluster Analysis, Information Retrieval, Mathematical Formulas

Bartell, Brian T.; And Others – Journal of the American Society for Information Science, 1995
Discussion of the failure of individual keywords to identify conceptual content of documents in retrieval systems highlights Metric Similarity Modeling, a method for creating vector space representation of documents based on modeling target interdocument similarity values. Semantic relatedness, latent semantic indexing, an indexing and retrieval…
Descriptors: Algorithms, Databases, Documentation, Indexing

Horng, Jorng-Tzong; Yeh, Ching-Chang – Information Processing & Management, 2000
Proposes a novel approach to automatically retrieve keywords and then uses genetic algorithms to adapt the keyword weights. Discusses Chinese text retrieval, term frequency rating formulas, vector space models, bigrams, the PAT-tree structure for information retrieval, query vectors, and relevance feedback. (Author/LRW)
Descriptors: Algorithms, Chinese, Information Retrieval, Keywords

Miyamoto, Sadaaki – Information Processing & Management, 2003
Proposes a fuzzy multiset model for information clustering with application to information retrieval on the World Wide Web. Highlights include search engines; term clustering; document clustering; algorithms for calculating cluster centers; theoretical properties concerning clustering algorithms; and examples to show how the algorithms work.…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models
Petry, Frederick E.; And Others – Proceedings of the ASIS Annual Meeting, 1993
Describes an approach that combines concepts from information retrieval, fuzzy set theory, and genetic programing to improve weighted Boolean query formulation via relevance feedback. Highlights include background on information retrieval systems; genetic algorithms; subproblem formulation; and preliminary results based on a testbed. (Contains 12…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Online Systems

Boughanem, M.; Chrisment, C.; Soule-Dupuy, C. – Information Processing & Management, 1999
Presents a relevance-feedback strategy that improves the effectiveness of information-retrieval systems based on back-propagation of the relevance of retrieved documents using an algorithm developed in a neural approach. Describes a neural information-retrieval model and reports results obtained with the algorithm in three different environments.…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models

Shapira, Bracha; And Others – Online & CD-ROM Review, 1996
Discussion of hypertext browsing proposes a filtering algorithm which restricts the amount of information made available to the user by calculating the set of most relevant hypertext nodes for the user, utilizing the user profile and data clustering technique. An example is provided of an optimal cluster of relevant data items. (Author/LRW)
Descriptors: Algorithms, Hypermedia, Information Retrieval, Mathematical Formulas

Bodoff, David; Wu, Bin; Wong, K. Y. Michael – Journal of the American Society for Information Science and Technology, 2003
Presents a preliminary empirical test of a maximum likelihood approach to using relevance data for training information retrieval parameters. Discusses similarities to language models; the unification of document-oriented and query-oriented views; tests on data sets; algorithms and scalability; and the effectiveness of maximum likelihood…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Maximum Likelihood Statistics

Lopez-Pujalte, Cristina; Guerrero-Bote, Vicente P.; de Moya-Anegon, Felix – Journal of the American Society for Information Science and Technology, 2003
Discusses genetic algorithms in information retrieval, especially for relevance feedback, and evaluates the efficacy of a genetic algorithm with various order-based fitness functions for relevance feedback in a test database. Compares results with the Ide dec-hi method, one of the best traditional methods. (Contains 56 references.) (Author/LRW)
Descriptors: Algorithms, Comparative Analysis, Databases, Genetics

Eastman, Caroline M. – Information Processing and Management, 1989
Compares the performance of inverted and signature file organizations in handling incrementally specified Boolean queries to an information retrieval system. The discussion covers the impact of more sophisticated signature file organizations, related problems, and possible future work. (65 references) (CLB)
Descriptors: Algorithms, Comparative Analysis, Database Management Systems, Information Retrieval

Rada, Roy; Bicknell, Ellen – Journal of the American Society for Information Science, 1989
Describes exploratory experiments in evaluating and improving a thesaurus through studying its effect on retrieval. A formula was developed to measure the conceptual distance between queries and documents encoded as sets of thesaurus terms. Comparison to the performance of people judging conceptual distance shows that the formula accurately…
Descriptors: Algorithms, Computer Simulation, Evaluation Methods, Indexing

Tamine, Lynda; Chrisment, Claude; Boughanem, Mohand – Information Processing & Management, 2003
Explains the use of genetic algorithms to combine results from multiple query evaluations to improve relevance in information retrieval. Discusses niching techniques, relevance feedback techniques, and evolution heuristics, and compares retrieval results obtained by both genetic multiple query evaluation and classical single query evaluation…
Descriptors: Algorithms, Comparative Analysis, Evolution, Genetics
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