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Recommendation system for content selection


The recommendation system selects and recommends content on the Internet based on search queries of the user. The contractor installs widget on the partners website, and it selects relevant pages, including the content of the client, based on user’s request. Then the content is demonstrated to the public.

The system chooses content based on user’s behavior: the service’s personalization algorithms analyze user behavior, materials the user reads and identifies user preferences. Segmentation technology allows to identify the user in any platform and show him ads regardless of what he/she is viewing, be it a specialized Website about tourism or news. Moreover, the technology also takes into account geolocation, user’s browser, device and other factors, improving accuracy of recommendations.

In July 2019 the system was purchased by Mail.ru Group.







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Project launched:


369Latest update:06.04.2020

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Supported by the Moscow Government