Recommender System of Site Information Content for Optimal Display in Search Engines

For optimal display in search engines, a recommender system for site information content has been developed. A theoretical analysis of the mechanisms of attracting new customers using search engines was carried out. An overview of the existing techniques of site information content, which affect the ranking of the website in search engines, was performed. The specific features of the site information content are presented and the advantages of using the SILO architecture are given. Basic recommendations for keyword density and their location on the website page are offered. The developed recommender system for site content optimization allows to set off the density of keywords, analyzing the content structure of the website and the competitor’s site, as well as performing the analysis of the site’s general content conveniently.