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Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.02

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Date: 14. 3.1996 13:22:21
Source: Special libraries. 74(1983) no.1, S. 56-60

Lochbaum, K.E.; Streeter, A.R.: Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval (1989) 0.00
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Abstract

A retrievalsystem was built to find individuals with appropriate expertise within a large research establishment on the basis of their authored documents. The expert-locating system uses a new method for automatic indexing and retrieval based on singular value decomposition, a matrix decomposition technique related to the factor analysis. Organizational groups, represented by the documents they write, and the terms contained in these documents, are fit simultaneously into a 100-dimensional "semantic" space. User queries are positioned in the semantic space, and the most similar groups are returned to the user. Here we compared the standard vector-space model with this new technique and found that combining the two methods improved performance over either alone. We also examined the effects of various experimental variables on the system`s retrieval accuracy. In particular, the effects of: term weighting functions in the semantic space construction and in query construction, suffix stripping, and using lexical units larger than a a single word were studied.

Source

Information processing and management. 25(1989) no.6, S. 665-676

Wan, T.-L.; Evens, M.; Wan, Y.-W.; Pao, Y.-Y.: Experiments with automatic indexing and a relational thesaurus in a Chinese information retrieval system (1997) 0.00

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Source: Journal of the American Society for Information Science. 48(1997) no.12, S.1086-1096

Munkelt, J.: Erstellung einer DNB-Retrieval-Testkollektion (2018) 0.00

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Pages: II, 79 S

Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.00

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Source: Information processing and management. 31(1995) no.3, S.315-326

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