Abstract
The rapid development of technology and the exponential increase of information available in the modern world is the cause of both new learning opportunities and new challenges in finding reliable sources of knowledge (books, abstracts, media lectures, etc.) which can be useful in the particular subject area and relevant in time. The study of web development is no exception. Web technologies are evolving rapidly as the market and businesses are dictating their demands. There is a need to create a system that would provide actions recommendations based on the person and his knowledge level taking in account multiple time-changing side parameters in the world: IT market state, available vacancies requirements, salaries and need for a certain type of specialist. The authors developed an intelligent system for providing person- and IT-market trends-oriented recommendations on web development learning. System includes data analysis, which involves data kindly provided by more than 60 international IT-companies as part of this research.
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The authors are sincerely grateful to the analytics department of the Internet resource DOU.UA (https://dou.ua) for the provided information and interest in this work.
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Yurchuk, I., Kutsenko, M. (2022). An Intelligent System for Providing Recommendations on the Web Development Learning. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_38
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DOI: https://doi.org/10.1007/978-3-030-82014-5_38
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