The selection of personalized site content algorithm development

The article is devoted to the development of an algorithm for selecting personalized content for user groups. The approach provides for the selection of rules from the Knowledge Base, even for users who do not belong to the identified groups. The structure of the rule is given, as well as a set-theoretic description of the structural elements of the site page, for which it is possible to configure substitution.