Iterative Search for Selecting Web-Pages to Construct Personal Profiles
Internet content provides much information about a particular person, especially related to her/his activity reflected in social networks as web-pages or attached files. The problem is to find such information for a given person and for given search query constraints. A lot of data sources have to b...
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oai:doaj.org-article:027f2a9502244a71b06001c6a1c95cf12021-11-20T15:59:33ZIterative Search for Selecting Web-Pages to Construct Personal Profiles2305-72542343-073710.5281/zenodo.5639765https://doaj.org/article/027f2a9502244a71b06001c6a1c95cf12021-10-01T00:00:00Zhttps://www.fruct.org/publications/acm30/files/Har.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737Internet content provides much information about a particular person, especially related to her/his activity reflected in social networks as web-pages or attached files. The problem is to find such information for a given person and for given search query constraints. A lot of data sources have to be analyzed to find information to construct digital persons profile. In this paper, we consider iterative Internet search algorithm that generates multiple search queries and evaluates the found links on the relation level to the given person. A rank is computed for each link that shows the relation level to the given person. Our experiments show that the method finds links among which 75% or more is essentially related to the person. When the content of a link is further analyzed (e.g., parsing) the search quality increases to 90% and more.Artur HarkovchukDmitry KorzunFRUCTarticleinternet searchdigital persons profileinformation relation levelinformation rankingTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 2, Pp 342-345 (2021) |
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internet search digital persons profile information relation level information ranking Telecommunication TK5101-6720 |
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internet search digital persons profile information relation level information ranking Telecommunication TK5101-6720 Artur Harkovchuk Dmitry Korzun Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
description |
Internet content provides much information about a particular person, especially related to her/his activity reflected in social networks as web-pages or attached files. The problem is to find such information for a given person and for given search query constraints. A lot of data sources have to be analyzed to find information to construct digital persons profile. In this paper, we consider iterative Internet search algorithm that generates multiple search queries and evaluates the found links on the relation level to the given person. A rank is computed for each link that shows the relation level to the given person. Our experiments show that the method finds links among which 75% or more is essentially related to the person. When the content of a link is further analyzed (e.g., parsing) the search quality increases to 90% and more. |
format |
article |
author |
Artur Harkovchuk Dmitry Korzun |
author_facet |
Artur Harkovchuk Dmitry Korzun |
author_sort |
Artur Harkovchuk |
title |
Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
title_short |
Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
title_full |
Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
title_fullStr |
Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
title_full_unstemmed |
Iterative Search for Selecting Web-Pages to Construct Personal Profiles |
title_sort |
iterative search for selecting web-pages to construct personal profiles |
publisher |
FRUCT |
publishDate |
2021 |
url |
https://doaj.org/article/027f2a9502244a71b06001c6a1c95cf1 |
work_keys_str_mv |
AT arturharkovchuk iterativesearchforselectingwebpagestoconstructpersonalprofiles AT dmitrykorzun iterativesearchforselectingwebpagestoconstructpersonalprofiles |
_version_ |
1718419403086757888 |