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Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Cover

Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering

Cybernetics and Information Technologies
Volume 24 (2024): Issue 4 (December 2024)
By: Simeon Emanuilov and  Aleksandar Dimov  
Open Access
|Dec 2024

Authors

Simeon Emanuilov

ssemanuilo@fmi.uni-sofia.bg

Department of Software Technologies, Faculty of Mathematics and Informatics, Sofia University “St, Sofia, Bulgaria

Aleksandar Dimov

aldi@fmi.uni-sofia.bg

Department of Software Technologies, Faculty of Mathematics and Informatics, Sofia University “St, Sofia, Bulgaria
DOI: https://doi.org/10.2478/cait-2024-0035 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 45 - 58
Submitted on: Jul 27, 2024
|
Accepted on: Oct 18, 2024
|
Published on: Dec 18, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Similarity search,
kNN,
Billion-scale,
Hybrid vectors,
Filtered search.
Related subjects:
Computer sciences,
Information technology

© 2024 Simeon Emanuilov, Aleksandar Dimov, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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