Zhytomyr State University Library

Recommendation System for Leisure Time-Management in Quarantine Conditions

Vlasenko Olha, Veres Oleh, Ilchuk Pavlo, Kots Olha and Levus Yana (2022) Recommendation System for Leisure Time-Management in Quarantine Conditions. Modern Machine Learning Technologies and Data Science Workshop. Т. 3312. pp. 263-282.

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Abstract

The paper describes the problems during quarantine restrictions and how this affects the
psycho-emotional health of the person. The need to adapt and modify the usual forms of leisure activity to the new format has been determined. The most famous modern information systems, providing entertainment services are narrow-purpose systems. They generate
recommendations related to media services. Methods of providing recommendations have been
studied. A tree of goals was built to solve the problem situation. Alternative means of
implementation of the information system are considered. Using the Analytical Hierarchy
Method, the optimal type of system for the implementation of the proposed solution was chosen
– a recommendation system. The algorithm of work of the recommendation system of free time during the period of forced stay at home is described. The mechanism of weight optimization in the weighted hybrid recommendation algorithm was used to provide recommendations. When a user's portrait is created, the method of the personality type indicator is used. Using the UML language tools, a conceptual system model has been designed. For realization of the prototype of a mobile application of the system language programming Java, JavaScript, frame react Native is chosen. To work with the database the MySQL database management system has been selected. An example of using the system as a mobile application is given. The main stages of interaction of the user with the recommended system of free time during the period of forced stay at home are described. The work of the recommendation system is aimed at mitigating the negative consequences on the psycho-emotional state of a person who is in the conditions of forced quarantine. The special feature of the recommendations of the developed prototype is to offer, in addition to passive activities, active actions that take into account the peculiarities of each user. Application of the system is not limited only to quarantine. The services of the system will be appropriate for people with disabilities, in the case of physical injury transfer or liquidation, which led to temporary immobility.

Item Type: Article
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
L Education > LB Theory and practice of education > LB2361 Curriculum
L Education > LC Special aspects of education > LC5201 Education extension. Adult education. Continuing education
Divisions: Educational and Research Institute of Pedagogics > Department of Vocational Pedagogy, Special Education, Andragogy and Educational Management
Depositing User: Ольга Власенко
Date Deposited: 13 May 2023 23:31
Last Modified: 13 May 2023 23:31
URI: https://eprints.zu.edu.ua/id/eprint/36812
ДСТУ 8302:2015: Recommendation System for Leisure Time-Management in Quarantine Conditions / Olha Vlasenko та ін. Modern Machine Learning Technologies and Data Science Workshop. 2022. Т. 3312. pp. 263-282.

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