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| Information Retrieval | 4 |
| Mathematical Formulas | 2 |
| Relevance (Information… | 2 |
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| Kulyukin, Vladimir A. | 1 |
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Peer reviewedKulyukin, Vladimir A.; Settle, Amber – Journal of the American Society for Information Science and Technology, 2001
Discussion of semantic networks and ranked retrieval focuses on two models, the semantic network model with spreading activation and the vector space model with dot product. Suggests a formal method to analyze the two models in terms of their relative performance in the same universe of objects. (Author/LRW)
Descriptors: Algorithms, Information Retrieval, Models, Relevance (Information Retrieval)
Peer reviewedHoenkamp, 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
Peer reviewedLosada, David E.; Barreiro, Alvaro – Journal of the American Society for Information Science and Technology, 2003
Proposes an approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. Highlights include document representation and matching; incorporating term similarity into the measure of distance; new algorithms for implementation; inverse document frequency; and logical versus classical models of…
Descriptors: Algorithms, Information Retrieval, Logic, Measurement Techniques
Peer reviewedBodoff, 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
Peer reviewedGarfield, Eugene; Pudovkin, A. I.; Istomin, V. S. – Journal of the American Society for Information Science and Technology, 2003
Provides an applications-oriented view of algorithmic historiography and how it relates to understanding scientific paradigms. Discusses HistCite[TM], a program that allows scholars to identify significant works on a given topic; paradigm shifts; a genealogic approach; citation analyses; correcting variations in citations; and bibliographic…
Descriptors: Algorithms, Citation Analysis, Computer Software, Genealogy
