Presents an approach to a Genetic Information Retrieval Agent Filter (GIRAF) that filters and ranks documents retrieved from the Internet according to users' preferences by using a Genetic Algorithm and fuzzy set theory to handle the imprecision of users' preferences and users' evaluation of the retrieved documents. (Author/LRW)

This study examined the effectiveness using an automatic algorithm to rank the results of Boolean searches of an inverted file design document retrieval system. Relevant documents were ranked significantly higher than nonrelevant documents on output lists. (Author/KP)

Investigates methods for the correct and efficient handling of annotations in a full-text information-retrieval system in a hypertext environment. Goals were to increase relevant items retrieved, reduce non-relevant items, permit selective retrieval, and to explore the notion of distance between words as given in the distance-evaluation algorithm.…

Describes SWEAR (Systematic Weighting and Ranking), a powers-of-two algorithm that can be used for searching the World Wide Web or any large database that automatically creates discrete, well-defined result sets and displays them in decreasing order of likely relevance. Also discusses fuzzy sets. (Author/LRW)

This paper deals with quantitative evaluation of the effects of erroneous performance by stemming and similar clustering algorithms in information retrieval systems. (Author)

Discussion of access methods and information retrieval algorithms focuses on the vertical counting approach. Determines the speedup gained from using the Hamming Distance Bit Vertical counter, evaluates the parameters that influence the speedup, and discusses the point that makes the vertical approach faster than the horizontal approach.…

Discusses the feasibility of building intelligent rule- or weight-based algorithms into general-purpose software for interactive thesaurus navigation. Previous research is surveyed; practical investigations in thesaurus navigation and query enhancement are described; and implications for automatic or intelligent thesaurus navigation are…

Evaluates the effectiveness of spelling-correction and string-similarity matching methods in retrieving similar words in a Malay dictionary associated with a set of query words. Describes experiments that showed the best search combination used a stemming algorithm, and calculates retrieval effectiveness and relevant means measures from weighted…

Discussion of clustering of documents and queries in information retrieval systems focuses on the use of a genetic algorithm to adapt subject descriptions so that documents become more effective in matching relevant queries. Various types of clustering are explained, and simulation experiments used to test the genetic algorithm are described. (27…

The Hepatitis Knowledge Base (text of prototype information system) was used for modifying and testing "A Navigator of Natural Language Organized (Textual) Data" (ANNOD), a retrieval system which combines probabilistic, linguistic, and empirical means to rank individual paragraphs of full text for similarity to natural language queries…

Discusses ranking techniques for document retrieval and proposes an evaluation, or filtering, technique that reduces costs and memory usage by early recognition of which documents are likely to be highly ranked. Highlights include index design, ranked query evaluation, reducing the number of accumulators, inverted file structures, and experimental…

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)…

Discussion of user queries in information retrieval highlights the experimental evaluation of an adaptive linear model that constructs improved query vectors from user preference judgments on a sample set of documents. The performance of this method is compared with that of standard relevance feedback techniques. (28 references) (LRW)

This study found that a Kohonen self-organizing map (SOM) algorithm for browsing can categorize a large and eclectic Internet-information space into manageable sub-spaces that users can navigate to find relevant home pages. An automatically generated concept-space algorithm for searching was shown to enhance keyword-based Internet searching.…

Investigates techniques for automatic coding of English language strings which involve titles drawn from bibliographic files, but do not require prior knowledge of source. Coding methods (basic, maximum entropy principle), results of test using 6,260 titles from British National Bibliography, and variations in code element ordering are…