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Peer reviewed Peer reviewed
Shaw, Rachel J.; Willett, Peter – Information Processing and Management, 1993
Examines research on the observed values of retrieval effectiveness obtained in searches of files of nearest neighbor document clusters. Results show interdocument similarities used to generate nearest-neighbor clusters are significantly different from randomly generated clusters. (Contains 14 references.) (EAM)
Descriptors: Bibliographic Records, Cluster Analysis, Comparative Analysis, Information Retrieval
Peer reviewed Peer reviewed
Croft, W. Bruce; Turtle, Howard R. – Information Processing and Management, 1993
Reports information retrieval experiments comparing the performance of a probabilistic retrieval model that incorporates interdocument links with the simpler spreading activation strategy. Results indicated that the overall improvement obtained by including hypertext links in the retrieval model was low. (30 references) (EA)
Descriptors: Citations (References), Comparative Analysis, Heuristics, Hypermedia
Peer reviewed Peer reviewed
Morehead, David R.; Rouse, William B. – Information Processing and Management, 1982
Five models which perform search tasks of the Data Base Access and Search Environment (DBASE) are presented and used for comparison with subject search performance--unconstrained (rule-based, decision theoretic) and constrained (optimal rule-based, rule-based, probabilistic rule-based). Previous experiments and the modeling approach are briefly…
Descriptors: Comparative Analysis, Databases, Information Retrieval, Information Seeking
Peer reviewed Peer reviewed
Damerau, Fred J. – Information Processing and Management, 1993
Examines the use of various statistical techniques for generating domain-oriented multiword vocabulary terms for natural language database systems. Conclusions show the vocabulary clustering effect should be considered when making significance calculations and that a simple ratio of subject matter relative frequency to total sample relative…
Descriptors: Automatic Indexing, Cluster Analysis, Comparative Analysis, Database Design