Публікація:
Principles of searching and sorting optimization in social networks using a multi-factor assessment system

dc.contributor.authorShopynskyi, M. V.
dc.contributor.authorGolian, N. V.
dc.contributor.authorAfanasieva, I. V.
dc.date.accessioned2021-11-28T15:14:23Z
dc.date.available2021-11-28T15:14:23Z
dc.date.issued2019
dc.description.abstractThe analysis of social networks, which focuses on the relationship between social entities today is an area of active research. It is a set of tools for research, in particular, in combination with artificial intelligence methods such as machine learning, deep learning. The paper examined the current quality of the assessment of information in social networks, analyzed the methods of searching and sorting information in various social networks, as well as the process of providing recommendations to users. Social media data is an inexhaustible source of research and business opportunities. In general, social media data is information gathered from social networks that shows how users interact with content. Methods of improving search results for personalizing recommendations in social networks are given. These indicators and statistics provide an effective understanding of the strategy of behavior in social networks. The advantages and disadvantages of a multifactor assessment system are considered. The possible ways of integrating the combined system of evaluating information elements by the user to optimize search queries and filtering big data are identified.uk_UA
dc.identifier.citationShopynskyi M. V. Principles of searching and sorting optimization in social networks using a multi-factor assessment system / M. V. Shopynskyi, N. V. Golian, I. V. Afanasieva // Бионика интеллекта : научно-технический журнал. – 2019. – № 1 (92). – С. 47–51.uk_UA
dc.identifier.urihttps://openarchive.nure.ua/handle/document/18418
dc.language.isoenuk_UA
dc.publisherХНУРЕuk_UA
dc.subjectsocial networkuk_UA
dc.subjectsearchuk_UA
dc.subjectfilteringuk_UA
dc.subjectmulti-factor assessment systemuk_UA
dc.subjectrating scaleuk_UA
dc.subjectbig datauk_UA
dc.titlePrinciples of searching and sorting optimization in social networks using a multi-factor assessment systemuk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

Файли

Оригінальний пакет
Зараз показано 1 - 1 з 1
Завантаження...
Зображення мініатюри
Назва:
Bionika_2019_1_47-51.pdf
Розмір:
135.6 KB
Формат:
Adobe Portable Document Format
Ліцензійний пакет
Зараз показано 1 - 1 з 1
Немає доступних мініатюр
Назва:
license.txt
Розмір:
9.42 KB
Формат:
Item-specific license agreed upon to submission
Опис: