Similarity in information retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021065" target="_blank" >RIV/61989100:27240/08:00021065 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Similarity in information retrieval
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
7th International Conference on Computer Information Systems and Industrial Management Applications
ISBN
978-0-7695-3184-7
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Ostrava, Czech Republic
Event date
Jun 26, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000257945400023