Real-time content integration based on machine learned selections

作者: Farnham Rodrigo B , Brewer Jason , Lue David B , Stucky-Mack Nicholas J

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摘要: A content integration system is configured to rapidly select online for distribution in response a user-generated request. The can analyze available items and data describing the user generate one or more numerical likelihoods estimating how will interact with each of given items. highest scoring be selected transmitted without noticeable delay.

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