DocumentCode
3628129
Title
Similarity in Information Retrieval
Author
Jan Martinovic;Petr Gajdos;Vaclav Snasel
Author_Institution
Dept. of Comput. Sci., Tech. Univ. of Ostrava, Ostrava
fYear
2008
Firstpage
145
Lastpage
150
Abstract
One of the key problems in the Information Retrieval (IR) is a similarity measure. IR systems that can model human performance often make use of similarity judgments that are non-metric; but when the triangle inequality is not obeyed, most existing IR techniques are not applicable. We define similarity as epsilon-k-ball in this paper and we focused on algorithms which use this similarity measure.
Keywords
"Information retrieval","Optical computing","Management information systems","Computer industry","Application software","Computer science","Humans","Displays","Feedback","Extraterrestrial measurements"
Publisher
ieee
Conference_Titel
Computer Information Systems and Industrial Management Applications, 2008. CISIM ´08. 7th
Print_ISBN
978-0-7695-3184-7
Type
conf
DOI
10.1109/CISIM.2008.26
Filename
4557850
Link To Document