Перегляд за Автор "Orekhov, S. V."

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  • Документ
    Method of search engine optimization based on semantic nets
    (2019) Malyhon, H. V.; Orekhov, S. V.
  • Документ
    News-based price prediction of various raw materials
    (2020) Polovyi, V. O.; Orekhov, S. V.
  • Документ
    Software designing for virtual promotion based on machine learning
    (2022) Orekhov, S. V.
    The results of applying modern methods of search engine optimization on the Internet show their low efficiency. First, it is difficult to assess this effectiveness itself. Secondly, there are no tools at the enterprise level that would allow him to manage the process of promoting a product on the Internet. Of course, there are such software tools for managing promotional events. But their main drawback is that in the pursuit of advertising budgets, their effectiveness is assessed at a low level. Therefore, there is an urgent need to create alternative software solutions based on machine learning that will allow the enterprise to manage the entire promotion process as a whole.
  • Документ
    Solving problem of semantic kernel forming
    (2020) Orekhov, S. V.; Malyhon, G. V.; Belodid, V. Y.; Agalab, V.
    The experience gained over the past ten years in the implementation of more than 30 projects showed us that the new phenomenon was born. It is virtual promotion of goods or services. Our scientific team is researching this problem last few years. As a result the effect of semantic kernel was found. Semantic kernel is the set of keywords stored on web page. It should be forming in right way to increase the efficiency of solving search engine optimization problem. This paper describes the analysis of methods of semantic kernel forming.