Architecture of System for Content Integration and Formation Based on Cryptographic Consumer Needs

Design of the architecture of an intelligent system for distributing commercial content in the internet space based on SEO-technologies, neural networks, and Machine Learning

“…Personalized approach to the Internet-resource user greatly increases sale coefficients [6]. That is, those clients that cannot find the required information leave a Web-resource unsatisfied and would probably never visit it again, given the extremely competitive Internet market [7].…”

Development of the system to integrate and generate content considering the cryptocurrent needs of users

“…As a rule, tokens are employed by the virtual world figures, specifically the founders and organizers of ICO-startups [5]. With the advent of a blockchain technology these tokens, through the Bitcoin network and its analogs, have been in use for different purposes [6], namely:…”

Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution

“…-mechanical -organized taking into consideration the uniformity of distribution of a studied unit in the general totality [41]. All texts of the general totality are numbered, and then, for example, a segment of the necessary length is chosen from each fifth and tenth or the twentieth text [42];…”