SIMILANT: An Analytic Tool for Similarity Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10398884" target="_blank" >RIV/00216208:11320/19:10398884 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/19:00335061
Result on the web
<a href="http://dx.doi.org/10.1145/3357384.3357852" target="_blank" >http://dx.doi.org/10.1145/3357384.3357852</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3357384.3357852" target="_blank" >10.1145/3357384.3357852</a>
Alternative languages
Result language
angličtina
Original language name
SIMILANT: An Analytic Tool for Similarity Modeling
Original language description
In this demo paper we present SIMILANT, a data analytics tool for modeling similarity in content-based retrieval scenarios. In similarity search, data elements are modeled using black-box descriptors, where a pair-wise similarity function is the only way how to relate data elements to each other.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 28th ACM International Conference on Information and Knowledge Management
ISBN
978-1-4503-6976-3
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
2889-2892
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Beijing, China
Event date
Nov 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—