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公开(公告)号:US20240370281A1
公开(公告)日:2024-11-07
申请号:US18688818
申请日:2023-03-20
Applicant: Google LLC
Inventor: Chunlei Zhu , Chitra Kannan Kashyap , Tianpeng Jin , Xi Chen
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing digital components are described. One aspect features a digital component distribution system that can determine that a digital component that depicts content related to a particular subject can be distributed to a computing device. The system can use a data processing model and contextual information for the computing device to determine that it can include a remind-me-later user interface control with the digital component. In response to determining to include the remind-me-later user interface control, the system can modify the digital component to include the remind-me-later user interface control that, when interacted with by a user, causes the computing device to schedule a notification that reminds a user of the computing device of the subject of the digital component. The system can send the digital component with the remind-me-later user interface control to the computing device.
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公开(公告)号:US20240257176A1
公开(公告)日:2024-08-01
申请号:US18162279
申请日:2023-01-31
Applicant: Google LLC
Inventor: Samsudin Kamis , Chitra Kannan Kashyap , William Frazier Pierpont Grose , Alex Pan , Yi Yang , Charlotte Yao , Chunlei Zhu , Zaiyue Xue , Benjamin Schaeffer
IPC: G06Q30/0242 , G06Q30/0235
CPC classification number: G06Q30/0244 , G06Q30/0235 , G06Q30/0246
Abstract: The present disclosure provides techniques for presenting a reward impression. A computing system can receive, from a client device, a request to view the reward impression having a first time slot and a second time slot. The computing system can calculate a first conversion rate associated with a first content item being presented in the first time slot and a second conversion rate associated with a second content item being presented in the second time slot. The computing system can select, using the one or more machine-learned models based on the first conversion rate and the second conversion rate, the first content item and the second content item from a plurality of content items. The computing system can cause the presentation of the first content item in the first time slot and the second content item in the second time slot of the reward impression.
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