Hogan Lovells US LLP
Artificial intelligence system for optimizing network-accessible content
An optimal combination of content items may be determined and served to increase the likelihood of a predefined user interaction. A user can request content which may include an entity (such as a web page, document, advertisement, and the like) that has multiple components through which content items may be provided. For example, a web page may include multiple slots where content items may be displayed on the web page. Each component may be associated with multiple possible content items, resulting in many combinations of layouts for an entity. A content server may determine which layout to provide using a content selection model that is weighted based on a likelihood of groupings of content items resulting in a user interaction that satisfies a success condition (e.g., selecting a hyperlink, selecting a content item, initiating a transaction, etc.).
Amazon Technologies, Inc.
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Houssam Vishwanathan Anand Mahadeva Jian Yi Tao Daniel Sriram
Nassif Swaminathan Iyer Liu Liu Hu Hill Srinivasan