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11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2021 ; 1:527-535, 2021.
Article in English | Scopus | ID: covidwho-1703155

ABSTRACT

The article identifies the theoretical aspects of e-commerce as an economic category, the problems of the current state of the e-commerce market related to the COVID-19 pandemic, consumer distrust and less functionality in the choice of clothing units. The aim of the article is the generalization, development and implementation of an expert system that will increase the functionality and efficiency of e- business. Research methods are mathematical apparatus for solving classification problems, regression, discrete methods, artificial neural networks, decision trees and other machine learning algorithms for solving classification problems, statistical methods and tools for data processing and analysis, data visualization tools. The problems of developing an expert system to increase the functionality of e-commerce were solved using R and Python programming languages, data processing and analysis. Practical significance of the research is to identify and use an effective algorithm for emotional analysis of the text, improve the method of collaborative filtering and develop an information system to provide recommendations to customers. As a result, the functionality and efficiency of e-commerce will increase. The obtained research results can be used as a methodological reference by software developers during the design and development of recommendation systems. © 2021 IEEE.

2.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 259-264, 2021.
Article in English | Scopus | ID: covidwho-1470284

ABSTRACT

The scientific article evaluates the current areas of health care management in the context of population aging. The peculiarities of population aging in some countries and regions (according to the level of economic development) have been clarified;including among women and men. The main structural reasons that determine the rate of population aging are identified: demographic, social, economic, environmental. The consequences of population aging for Ukrainian society, first of all its impact on the health care system, have been identified. The state of health of elderly people in Ukraine is analyzed and the priority directions of its preservation are substantiated. The methodological principles of calculating the health index and determining the characteristics of population inequality in terms of health from the standpoint of population aging (separately for men and women) are summarized. The main goals of health care development in the context of aging and the COVID-19 pandemic have been identified. © 2021 IEEE.

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