Competency education is student-centric, personalizing student progress so that every child has adequate time and support to reach proficiency every step of the way. Competency education fundamentally changes the way the educational enterprise is organized around student needs, and thus must have a dynamic IT system to support it. Following an…

Proposes local similarity pattern (LSP) as a new method for computing digital image similarity. Topics include optimizing similarity computation based on genetic algorithm; relevance feedback; and an evaluation of LSP on five databases that showed an increase in retrieval precision over other methods for computing image similarity. (Author/LRW)

Discussion of information retrieval focuses on a general method for the construction of measures of similarity taking into account the rank of presentation of the document, called ordered similarity measures. Presents an experimental evaluation used to quantify the filtering impact of a system and discusses recall and precision. (Author/LRW)

Examines general issues in conducting information retrieval research. Topics include the Okapi information retrieval system and its probabilistic model; the Cranfield projects, concerning recall and precision; the SMART project with its vector-space model; evaluation methodology, including laboratory evaluation of interactive systems; and…

Describes a study that computed low performance standards for the group of queries in 13 information retrieval (IR) test collections. Derived from the random graph hypothesis, these standards represent the highest levels of retrieval effectiveness that can be obtained from meaningless clustering structures. (Author/LRW)

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…

Reports on a theoretical model of structured document indexing and retrieval based on the Dempster-Shafer Theory of Evidence. Highlights include passage retrieval, hypertext, relevance, information needs, implementation of the model, an evaluation scheme designed to test the model's effectiveness, and results of experiments that investigated…

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…

Explains how a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. Topics include probabilistic causal networks; Bayesian networks; the neural network model; empirical studies of test collections that evaluated retrieval performance; precision results; and the use of a thesaurus to provide…

Discusses value of search results as a whole, a measure which asks for a user's rating of the usefulness of a set of search results based on a Likert scale, and suggests that this measure provides a simple way for system comparison and eliminates problems of information-retrieval evaluation with multiple measures. (Author/LRW)

Considers how ideas from document clustering can be used to improve retrieval accuracy of ranked lists in interactive systems and how to evaluate system effectiveness. Describes a TREC (Text Retrieval Conference) study that constructed and evaluated systems that present the user with ranked lists and a visualization of inter-document similarities.…

Discusses general issues of computer and human understanding; contrasts three paradigms of information retrieval methodology, including statistical, deep semantic or natural language, and smart Boolean; describes CONIT, a knowledge-based intermediary retrieval assistance system; and examines system evaluation procedures, including a…

Describes a session on information retrieval systems that planned to discuss relevance measures with Web-based information retrieval; retrieval system performance and evaluation; probabilistic independence of index terms; vector-based models; metalanguages and digital objects; how users assess the reliability, timeliness and bias of information;…

Reviews the development of research and evaluation in information retrieval. Highlights include the Cranfield projects concerning recall and precision, the Medlars experiment that focused on relevance, TREC (Text Retrieval Conference), evaluation versus understanding, interface versus functionality, document length, and terms and user interaction.…

Discusses relevance and its role in evaluating the effectiveness of information retrieval. Highlights include an information retrieval interaction model; a review of research; evaluation and measurement, including recall and precision and utility and user satisfaction; judges and judgment conditions; user criteria; decision making; and cognitive…