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Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997)
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- Date
- 27. 2.1999 20:59:22
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Kantor, P.B.: Information retrieval techniques (1994)
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- Abstract
- State of the art review of information retrieval techniques viewed in terms of the growing effort to implement concept based retrieval in content based algorithms. Identifies trends in the automation of indexing, retrieval, and the interaction between systems and users. Identifies 3 central issues: ways in which systems describe documents for purposes of information retrieval; ways in which systems compute the degree of match between a given document and the current state of the query; amd what the systems do with the information that they obtain from the users. Looks at information retrieval techniques in terms of: location, navigation; indexing; documents; queries; structures; concepts; matching documents to queries; restoring query structure; algorithms and content versus concepts; formulation of concepts in terms of contents; formulation of concepts with the assistance of the users; complex system codes versus underlying principles; and system evaluation
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Saracevic, T.; Kantor, P.B.: Studying the value of library and information services : Part I: Establishing a theoretical framework (1997)
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- Footnote
- 1st part of a study to develop a taxonomy of value-in-use of library and information services based on users assessments and to propose methods and instruments for similar studies of library and information services in general
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Saracevic, T.; Kantor, P.B.: Studying the value of library and information services : Part II: Methodology and taxonomy (1997)
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- Footnote
- 2nd part of a study to develop a taxonomy of value-in-use of library and information services based on users assessments and to propose methods and instruments for similar studies of library and information services in general
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Shim, W.; Kantor, P.B.: Evaluation of digital libraries : a DEA approach (1999)
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- Abstract
- As libraries evolve from paper based to digitized collection, traditional measurement activities must change. To demonstrate the growth in library value during this transition period, libraries must be able to describe how library inputs are transformed into the services libraries render. We apply a complex tool, data envelopment analysis (DEA), to evaluate the relative efficiency of major academic research libraries that are members of the Association of Research Libraries (ARL). An efficient library is defined as the one which produces same output with less input or, for a given input, produces more output. We report the results of a two-year base line study using traditional measures taken from 1995-1996 ARL statistics. We observe the patterns of efficiency scores of both individual libraries and libraries in peer groups (private vs. public). In particular we study the consistency over the years of specific DEA measures. This consistency provides justification for extending DEA as libraries undergo revolutionary digital transformation. The results are also corroborated using standard statistical measures. DEA application in the new digital library environment is discussed
