Datalogic Model for Determining the Clients Compatibility Based on Questionnaires Data Analysis by Artificial Intelligence Means

dc.contributor.authorZhuk, D.
dc.contributor.authorMazurets, O.
dc.contributor.authorSobko, O.
dc.contributor.authorKlimenko, V.
dc.contributor.authorМазурець, Олександр Вікторович
dc.date.accessioned2024-12-10T18:28:30Z
dc.date.available2024-12-10T18:28:30Z
dc.date.issued2024
dc.description.abstractTherefore, the Datalogic Model for Determining the Clients Compatibility Based on Questionnaires Data Analysis by Artificial Intelligence Means was designed. To determine compatibility between users, the system uses a test in which points will be added for each matching criterion. After comparing the questionnaires according to these criteria, the system displays the percentage of compatibility of the questionnaires, which is calculated based on the matches of the given criteria. The more criteria match, the higher the match percentage. The need to create a database for the information system, which is intended for many users, was also described in detail. Using a database will allow efficient and convenient storage and processing of data about users and their interests
dc.identifier.citationZhuk D., Mazurets O., Sobko O., Klimenko V. Datalogic Model for Determining the Clients Compatibility Based on Questionnaires Data Analysis by Artificial Intelligence Means. Innovative Solutions in Science: Balancing Theory and Practice. Proceedings of the 1st International scientific and practical conference. October 28-30, 2024. San Francisco, USA. 2024. Pp. 80-85
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/17226
dc.language.isoen
dc.titleDatalogic Model for Determining the Clients Compatibility Based on Questionnaires Data Analysis by Artificial Intelligence Means
dc.typeСтаття
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Вантажиться...
Ескіз
Назва:
San_Francisco_USA_28.10.2024-81-86.pdf
Розмір:
180.32 KB
Формат:
Adobe Portable Document Format
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Назва:
license.txt
Розмір:
4.26 KB
Формат:
Item-specific license agreed upon to submission
Опис: