The purpose of the article is to research modern trends in the development of decision-making support systems (DSS) in the field of job search (according to many criteria), to provide options for recommendations regarding vacancies that are most adequate for the job seeker, his opportunities and needs, the development of appropriate software and the identification of promising directions for the development of system development technologies support for decision-making. Research methods include an analysis of modern approaches to creating web-based systems and data analysis to ensure the effectiveness and accuracy of the recommendations that will be provided by DSS. The main task of the system is to take intothe account not only educational indicators (level of theoretical and practical knowledge, competences, skills and abilities, etc.) and existing work experience, but also personal interests and preferences of users. The author's web-oriented DSS J-Finder aims to match user profiles with available vacancies on the labor market. Special attention is paid to the collection and processing of data on the labor market, which allows the J-Finder system to provide relevant and meanin
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