Supervised Learning Methods for Diversification of Image Search Results

We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains up to 11.4%.

Detalles Bibliográficos
Autores principales: Goynuk, Burak, Altingovde, Ismail Sengor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148049/
http://dx.doi.org/10.1007/978-3-030-45442-5_20
_version_ 1783520519986872320
author Goynuk, Burak
Altingovde, Ismail Sengor
author_facet Goynuk, Burak
Altingovde, Ismail Sengor
author_sort Goynuk, Burak
collection PubMed
description We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains up to 11.4%.
format Online
Article
Text
id pubmed-7148049
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-71480492020-04-13 Supervised Learning Methods for Diversification of Image Search Results Goynuk, Burak Altingovde, Ismail Sengor Advances in Information Retrieval Article We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains up to 11.4%. 2020-03-24 /pmc/articles/PMC7148049/ http://dx.doi.org/10.1007/978-3-030-45442-5_20 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Goynuk, Burak
Altingovde, Ismail Sengor
Supervised Learning Methods for Diversification of Image Search Results
title Supervised Learning Methods for Diversification of Image Search Results
title_full Supervised Learning Methods for Diversification of Image Search Results
title_fullStr Supervised Learning Methods for Diversification of Image Search Results
title_full_unstemmed Supervised Learning Methods for Diversification of Image Search Results
title_short Supervised Learning Methods for Diversification of Image Search Results
title_sort supervised learning methods for diversification of image search results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148049/
http://dx.doi.org/10.1007/978-3-030-45442-5_20
work_keys_str_mv AT goynukburak supervisedlearningmethodsfordiversificationofimagesearchresults
AT altingovdeismailsengor supervisedlearningmethodsfordiversificationofimagesearchresults

Ejemplares similares