Refereed full papers (journals, book chapters, international conferences)

1990

@article{DDF1990,
	vgclass =	{refpap},
	author =	{Scott Deerwester and Susan T. Dumais and George W. Furnas
	and T. K. Landauer and Richard A. Harshman},
	title =	{Indexing by latent semantic analysis},
	journal =	{Journal of the American Society for Information Science},
	volume =	{41},
	number =	{6},
	pages =	{391--407},
	year =	{1990},
	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  100 orthogonal 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 returned. Initial tests find this completely automatic method for
	retrieval to be promising.},
}