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公开(公告)号:US20250088692A1
公开(公告)日:2025-03-13
申请号:US18560437
申请日:2022-12-28
Applicant: Google LLC
Inventor: Rishav Anand , Steven Guy Avery , Akhil Dhavala , Sittichai Jiampojamarn
IPC: H04N21/2668 , H04N21/25
Abstract: Methods, systems, and apparatus, including medium-encoded computer program products for selecting and presenting content in privacy preserving manners. A digital component request can be received from a client device at a first content platform, and can request digital components for presentation and can include contextual data describing an environment in which the digital component will be presented. Based on the contextual data, a client device user can be added to interest groups. Based on the contextual data, a digital component is selected for distribution to the client device. The selected digital component and instruction data are provided to the client device causing the client device to: update a membership count that indicates that the user has been added to the interest group; and include the selected digital component in a digital component selection process to select a digital component for presentation to the user of the client device.
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公开(公告)号:US20250077594A1
公开(公告)日:2025-03-06
申请号:US18562943
申请日:2022-12-08
Applicant: Google LLC
Inventor: Rishav Anand , Steven Guy Avery , Sittichai Jiampojamarn
IPC: G06F16/9535 , G06F16/955 , G06F21/62
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for privacy preserving digital component provider. In some implementations, a method includes providing, by a user device and during a browsing session of content page at the user device, (1) a request for a digital component and (2) contextual data representing a context within which the content page is provided for display on the user device; obtaining an embedding vector that represents the contextual data as a set of features and the digital component; generating one or more adjusted embedding vectors for a first interest group, wherein the collection includes the embedding vector adjusted by one or more values; and providing the one or more adjusted embedding vectors to a server for generating a model for the first interest group.
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