Similarity Search with the Distance Density Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127335" target="_blank" >RIV/00216224:14330/22:00127335 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-031-17849-8_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-17849-8_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-17849-8_10" target="_blank" >10.1007/978-3-031-17849-8_10</a>

Result language

angličtina

Original language name

Similarity Search with the Distance Density Model

Original language description

The metric space model of similarity has become a standard formal paradigm of generic similarity search engine implementations. However, the constraints of identity and symmetry prevent from expressing the subjectivity and dependence on the context perceived by humans. In this paper, we study the suitability of the Distance density model of similarity for searching. First, we use the Local Outlier Factor (LOF) to estimate a data density in search collections and evaluate plenty of queries using the standard geometric model and its extension respecting the densities. We let 200 people assess the search effectiveness of the two alternatives using the web interface. Encouraged by the positive effects of the Distance density model, we propose an alternative way to estimate the data densities to avoid the quadratic LOF computation complexity with respect to the dataset size. The sketches with unbalanced bits are clarified to be in correlation with LOFs, which opens a possibility for an efficient implementation of large-scale similarity search systems based on the Distance density model.

Czech name

—

Czech description

—

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)

Project

<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Similarity Search and Applications: 15th International Conference, SISAP 2022, Bologna, Italy, October 5 - October 7, 2020, Proceedings

ISBN

9783031178481

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

15

Pages from-to

118-132

Publisher name

Springer

Place of publication

Cham

Event location

Bologna, Itálie

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000874756300010