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Blackman, C.; Moore, E.R.; Seikel, M.; Smith, M.: WorldCat and SkyRiver (2014) 0.02

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Abstract: In 2009, a new company, SkyRiver, began offering bibliographic utility services to libraries in direct competition to OCLC's WorldCat. This study examines the differences between the two databases in terms of hit rates, total number of records found for each title in the sample, number of non-English language records, and the presence and completeness of several elements in the most-held bibliographic record for each title. While this study discovered that the two databases had virtually the same hit rates and record fullness for the sample used-with encoding levels as the sole exception-the study results do indicate meaningful differences in the number of duplicate records and non-English-language records available in each database for recently published scholarly monographs.
Date: 10. 9.2000 17:38:22
Type: a

Salton, G.; Buckley, C.; Smith, M.: On the application of syntactic methodologies in automatic text analysis (1990) 0.00

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Type: a

Smith, M.; Smith, M.P.; Wade, S.J.: Applying genetic programming to the problem of term weight algorithms (1995) 0.00

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Abstract: Presents the results of an initial study on the application of Genetic Programming (GP) to the production of term weighting algorithms in relevance feedback systems within information retrieval systems. Compares Porter, wpq and GP algorithms with user rankings. Offers a backgroud to term weighting alsgorithms and Genetic Programming
Type: a

Smith, M.P.; Smith, M.: ¬The use of genetic programming to build Boolean queries for text retrieval through relevance feedback (1997) 0.00
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Abstract

Reports preliminary work on the use of evolutionary computing techniques to improve Boolean information retrieval system performance through relevance feedback, such as neural networks and genetic algorithms. One specific form of genetic algorithm technique was used: that of genetic programming. Terms from relevant documents are used to create randomly Boolean queries. Boolean queires are thought of as genetic programming organisms and, as such, are used for breeding to produce new organisms. Organisms which perform well, in terms of how good they are at retrieval, are given a better chance of being selected for breeding, with the result being that the overall fitness of the organisms improve to some extent. The aim is to develop the best Boolean query for an information need, given a small corpus of test documents, and then to use that query on the full collection to retrieve yet more relevant documents

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