Recommendation System for Planning Leisure in Quarantine Conditions

O. Veres, Yana Levus
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Abstract

The work is devoted to research on the problem of management and organization of free time during the period of forced stay at home by means of information technologies. 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 method of the hierarchical analysis, the optimal system type of implementation of the proposed solution is chosen – the 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.
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检疫条件下规划休闲推荐系统
本工作致力于研究利用信息技术手段对被迫居家期间的空闲时间进行管理和组织的问题。本文介绍了检疫限制中存在的问题及其对人的心理情绪健康的影响。已经确定需要调整和修改通常的休闲活动形式以适应新的形式。提供娱乐服务的最著名的现代信息系统是窄用途系统。它们生成与媒体服务相关的推荐。研究了提供推荐的方法。建立了一个目标树来解决问题情况。还考虑了实施信息系统的其他方法。采用层次分析法,选择了实现所提方案的最优系统类型——推荐系统。介绍了强制留守期间空闲时间推荐系统的工作算法。利用加权混合推荐算法中的权重优化机制进行推荐。在创建用户画像时,使用人格类型指示器的方法。利用UML语言工具,设计了概念系统模型。为了实现一个移动应用程序的原型,系统编程语言选择了Java、JavaScript、框架react Native。选择MySQL数据库管理系统来处理数据库。最后给出了该系统作为移动应用的一个实例。描述了强制居家期间用户与推荐的空闲时间系统交互的主要阶段。推荐制度的工作旨在减轻对处于强制隔离条件下的人的心理和情绪状态造成的负面影响。开发原型的建议的特殊之处在于,除了被动活动之外,还提供了考虑到每个用户特点的主动行动。该系统的应用不仅限于检疫。该系统的服务将适合于残疾人,在身体受伤、转移或清理导致暂时无法行动的情况下。
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