Invention Grant
- Patent Title: Systems and methods for modeled advertisement conversion attributions
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Application No.: US17936603Application Date: 2022-09-29
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Publication No.: US11983742B1Publication Date: 2024-05-14
- Inventor: Sheng Ma , Jia Chen , Hancheng Ge , Paula Despins
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Eversheds Sutherland (US) LLP
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N3/045 ; G06N3/048 ; G06N3/08 ; G06Q30/0242 ; G06Q30/0251

Abstract:
Systems, methods, and computer-readable media are disclosed for modeled advertisement conversion attributions. An example method may include receiving first input data comprising first advertisement impression data and first advertisement conversion data, wherein the first input data includes one or more user identifiers associated with both the advertisement impression data and advertisement conversion data. The example method may also include training one or more machine learning models using the first input data. The example method may also include receiving second input data comprising second advertisement impression data, wherein user identifiers are unavailable for the second input data. The example method may also include determining, using the one or more machine learning models, second predicted conversion data associated with the second input data.
Information query