Popularity-Based Ranking for Fast Approximate kNN Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094704" target="_blank" >RIV/00216224:14330/17:00094704 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15388/Informatica.2017.118" target="_blank" >http://dx.doi.org/10.15388/Informatica.2017.118</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15388/Informatica.2017.118" target="_blank" >10.15388/Informatica.2017.118</a>
Alternative languages
Result language
angličtina
Original language name
Popularity-Based Ranking for Fast Approximate kNN Search
Original language description
Similarity searching has become widely available in many on-line archives of multimedia data. Users accessing such systems look for data items similar to their specific query object and typically refine results by re-running the search with a query from the results. We study this issue and propose a mechanism of approximate kNN query evaluation that incorporates statistics of accessing index data partitions. Apart from the distance between database objects, it also considers the prior query answers to prioritize index partitions containing frequently retrieved data, so evaluating repetitive similar queries more efficiently. We verify this concept in a number of experiments.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
<a href="/en/project/GA16-18889S" target="_blank" >GA16-18889S: Big Data Analytics for Unstructured Data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Informatica
ISSN
0868-4952
e-ISSN
—
Volume of the periodical
28
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
21
Pages from-to
1-21
UT code for WoS article
000398983000001
EID of the result in the Scopus database
2-s2.0-85018758663