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公开(公告)号:US20240320475A1
公开(公告)日:2024-09-26
申请号:US18477650
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Suman Basetty , Kimberly K. Lenox , Anil Kamath
IPC: G06N3/0455
CPC classification number: G06N3/0455 , G06F40/186
Abstract: A method, non-transitory computer readable medium, apparatus, and system for data processing are described. An embodiment of the present disclosure includes receiving, from a content provider via a user interface, a query about a chart that includes information related to a domain. A machine learning model generates a response to the query based on the chart and a corpus of documents in the domain. The response includes information from the corpus of documents. The user interface provides at least a portion of the response to the content provider.
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公开(公告)号:US10650403B2
公开(公告)日:2020-05-12
申请号:US15264053
申请日:2016-09-13
Applicant: ADOBE INC.
Inventor: Deepak Pai , Anil Kamath
Abstract: Techniques for distributing online ads by targeting online ad requests using test data to predict performance. The techniques can target ad requests in automated online advertising systems in which ad requests are generated by an ad exchange server and bids are placed by marketer devices in real time. The techniques aggregate bid units and compare bid unit characteristics to select bid units to target in ways that address data sparsity, variance, and volume issues. Data sparsity issues are addressed by aggregating bid units to avoid using bid units having insufficient data. Data variance issues are addressed by computing stability metrics for bid units that enable discounting the effect of outliers. Data volume and processing efficiency issues are addressed by grouping similar bid units based on similar metrics (e.g., normalized ROI) and/or similar stability scores, and then ranking the bid units and selecting the top ranked bid units to target.
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公开(公告)号:US20240320710A1
公开(公告)日:2024-09-26
申请号:US18477693
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Suman Basetty , Kimberly K. Lenox , Anil Kamath
IPC: G06Q30/0251 , G06N3/0455 , G06N3/084
CPC classification number: G06Q30/0254 , G06N3/0455 , G06N3/084
Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign brief includes an identification of a user segment, an identification of a communication channel, and a content element. The machine learning model is trained using training data including a plurality of campaign briefs. A user experience platform provides content corresponding to the content element to a user from the user segment via the communication channel based on the campaign brief.
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公开(公告)号:US20240320705A1
公开(公告)日:2024-09-26
申请号:US18477772
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Roger K. Brooks , Suman Basetty , Kimberly K. Lenox , Anil Kamath
IPC: G06Q30/0242 , G06Q30/0241
CPC classification number: G06Q30/0244 , G06Q30/0277
Abstract: A method, non-transitory computer readable medium, apparatus, and system for content generation are described. An embodiment of the present disclosure includes identifying, by a user experience platform, a content distribution campaign. The user experience platform obtains feedback for the content distribution campaign. Embodiments of the present disclosure further include generating content for a modified content distribution campaign based on the feedback using a machine learning model.
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公开(公告)号:US20240320018A1
公开(公告)日:2024-09-26
申请号:US18477804
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Roger K. Brooks , Suman Basetty , Kimberly K. Lenox , Anil Kamath
Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a prompt describing an element of a content distribution campaign. A machine learning model generates a user journey based on the prompt. The user journey includes at least one touchpoint for the content distribution campaign. The user experience platform provides digital content to a user corresponding to the at least one touchpoint based on the user journey.
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公开(公告)号:US20240320714A1
公开(公告)日:2024-09-26
申请号:US18477735
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Roger K. Brooks , Suman Basetty , Kimberly K. Lenox , Anil Kamath
IPC: G06Q30/0241 , G06F40/40 , G06Q30/0204
CPC classification number: G06Q30/0276 , G06F40/40 , G06Q30/0204
Abstract: A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.
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公开(公告)号:US20240320211A1
公开(公告)日:2024-09-26
申请号:US18477670
申请日:2023-09-29
Applicant: ADOBE INC.
Inventor: Rebecca Dorothy West , Lauren Dest , Mihir Naware , Elliot Axel Patrick Puzenat , Stephen Becigneul , Alexis Tessier , Suman Basetty , Kimberly K. Lenox , Anil Kamath
IPC: G06F16/242 , G06F16/28
CPC classification number: G06F16/242 , G06F16/285
Abstract: A method, non-transitory computer readable medium, apparatus, and system for data clustering are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a structured query for a database of users based on the prompt. A user experience platform generates a user segment of the users based on the structured query.
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