Dynamic creative optimization rule engine for effective content delivery

作者: Kulkarni Aditya Pradip , Gavlovski Avi Samuel , Zhang Zhurun

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摘要: An online system generates dynamically optimized content items composed of creatives selected from a set provided by provider according to rules associated with the creatives. Creatives include title, image, video, descriptive text and other different types components. The also receives describing one or more actions that can be performed on each under what condition for assembly item. For target user item, applies remove violate rules. Each creative satisfies is analyzed ranked based likelihood will interact item includes particular creative. user, sponsored having chosen same generated.

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