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1998•Unpublished venueRequires access

Information Space Gets Normal.

Gregory B. Newby

Open publisher page 4 citations

Abstract

Experiments are presented based on unofficial results for TREC-7. Eigensystems analysis of a term cooccurrence matrix is compared to eigensystems analysis of a term correlation matrix. For each matrix type, the effect of term weighting and document length normalization is assessed. Recall-precision curves and other TREC statistics indicate that the use of the correlation matrix improves performance regardless of what term weighting or document length normalization is used.

About this research paper

What this paper is about

Experiments are presented based on unofficial results for TREC-7. Eigensystems analysis of a term cooccurrence matrix is compared to eigensystems analysis of a term correlation matrix. For each matrix type, the effect of term weighting and document length normalization is assessed. Recall-precision curves and other TREC statistics indicate that the use of the correlation matrix improves performance regardless of what term weighting or document length normalization is used.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Experiments are presented based on unofficial results for TREC-7. Eigensystems analysis of a term cooccurrence matrix is compared to eigensystems analysis of a term correlation matrix. For each matrix type, the effect of term weighting and document length normalization is assessed. Recall-precision curves and other TREC statistics indicate that the use of the correlation matrix improves performance regardless of what term weighting or document length normalization is used.

Key concepts: Weighting, Normalization (sociology), Term (time), Computer science, Correlation, Matrix (chemical analysis), Pattern recognition (psychology), Data mining

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