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[8] Davidson , J. , Liebald , B. , Liu , J. , Nandy , P. , Van Vleet , T.

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Stupnikov , Dmitriy

Yu . Kovalev Today, when relevant search methods have almost reached its ceiling, increasing attention is paid to improving pertinence information. In this paper, the basic approaches to identifying user personal interests, as well as detailed principles of the recommendation system known as streaming video service Hulu are considered. This work was supported by the Ministry of Education and Science of the Russian Federation. A unique number of work is RFMEFI60414X0139 .