TY - JOUR
T1 - Spectral-based document retrieval
AU - Ramamohanarao, Kotagiri
AU - Park, Laurence A.F.
PY - 2004
Y1 - 2004
N2 - The fast vector space and probabilistic methods use the term counts and the slower proximity methods use term positions. We present the spectral-based information retrieval method which is able to use both term count and position information to obtain high precision document rankings. We are able to perform this, in a time comparable to the vector space method, by examining the query term spectra rather than query term positions. This method is a generalisation of the vector space method (VSM). Therefore, our spectral method can use the weighting schemes and enhancements used in the VSM.
AB - The fast vector space and probabilistic methods use the term counts and the slower proximity methods use term positions. We present the spectral-based information retrieval method which is able to use both term count and position information to obtain high precision document rankings. We are able to perform this, in a time comparable to the vector space method, by examining the query term spectra rather than query term positions. This method is a generalisation of the vector space method (VSM). Therefore, our spectral method can use the weighting schemes and enhancements used in the VSM.
UR - http://www.scopus.com/inward/record.url?scp=35048874688&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30502-6_30
DO - 10.1007/978-3-540-30502-6_30
M3 - Article
AN - SCOPUS:35048874688
SN - 0302-9743
VL - 3321
SP - 407
EP - 417
JO - Agents for Games and Simulations II
JF - Agents for Games and Simulations II
ER -