• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations
Advanced Search Include Citations | Disambiguate

DMCA

Indexing by latent semantic analysis (1990)

Cached

  • Download as a PDF

Download Links

  • [www.cs.bham.ac.uk]
  • [ssrc.cse.ucsc.edu]
  • [www.ise.gmu.edu]
  • [lyle.smu.edu]
  • [ssrc.cse.ucsc.edu]
  • [www.ssrc.ucsc.edu]
  • [lyle.smu.edu]
  • [www.si.umich.edu]
  • [furnas.people.si.umich.edu]
  • [www.stat.cmu.edu]
  • [www.stat.cmu.edu]
  • [www.kibazen.com]
  • [www.aifb.uni-karlsruhe.de]
  • [www.cis.temple.edu]
  • [www.scils.rutgers.edu]
  • [knight.cis.temple.edu]
  • [nats-www.informatik.uni-hamburg.de]
  • [www.indiana.edu]
  • [parnec.nuaa.edu.cn]
  • [wortschatz.uni-leipzig.de]
  • [nlp.cs.swarthmore.edu]
  • [www.albany.edu]
  • [cis-linux1.temple.edu]
  • [knight.cis.temple.edu]
  • [ftp-db.deis.unibo.it]
  • [www.si.umich.edu]
  • [superbook.bellcore.com]
  • [twiki.di.uniroma1.it]
  • [lsa.colorado.edu]
  • [rakaposhi.eas.asu.edu]
  • [lsa3.colorado.edu]
  • [mainline.brynmawr.edu]
  • [lsi.argreenhouse.com]
  • [lsi.research.telcordia.com]
  • [research.microsoft.com]
  • [www.iro.umontreal.ca]
  • [toetswijzer.kennisnet.nl]

  • Other Repositories/Bibliography

  • CiteULike
  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Scott Deerwester , Susan T. Dumais , George W. Furnas , Thomas K. Landauer , Richard Harshman
Venue:JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
Citations:3774 - 35 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@ARTICLE{Deerwester90indexingby,
    author = {Scott Deerwester and Susan T. Dumais and George W. Furnas and Thomas K. Landauer and Richard Harshman},
    title = {Indexing by latent semantic analysis},
    journal = {JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE},
    year = {1990},
    volume = {41},
    number = {6},
    pages = {391--407}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries. The particular technique used is singular-value decomposition, in which a large term by document matrix is decomposed into a set of ca. 100 or-thogonal factors from which the original matrix can be approximated by linear combination. Documents are represented by ca. 100 item vectors of factor weights. Queries are represented as pseudo-document vectors formed from weighted combinations of terms, and documents with supra-threshold cosine values are re-turned. initial tests find this completely automatic method for retrieval to be promising.

Keyphrases

latent semantic analysis    weighted combination    original matrix    initial test    automatic indexing    new method    automatic method    supra-threshold cosine value    linear combination    factor weight    or-thogonal factor    implicit higher-order structure    pseudo-document vector    document matrix    particular technique    semantic structure    relevant document    large term    singular-value decomposition    item vector   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University