Invention Grant
- Patent Title: Differential bid generation using machine learning
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Application No.: US17063345Application Date: 2020-10-05
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Publication No.: US11308512B2Publication Date: 2022-04-19
- Inventor: Mark K. Hammitt , Lisa C. Hammitt
- Applicant: Beseeq
- Applicant Address: US CA Burlingame
- Assignee: Beseeq
- Current Assignee: Beseeq
- Current Assignee Address: US CA Burlingame
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N20/00

Abstract:
Disclosed are systems, methods, and non-transitory computer-readable media for differential bid generation using machine learning. A bid management system generates an input based on features of a content item and. The bid management system uses the input to determine acceptance probability score distributions for a set of candidate users. The bid management system uses the acceptance probability score distributions along with user attributes describing the set of candidate users along with campaign parameters to determine a subset of the candidate users to receive an offer to view the content item along with bid values to offer to each candidate user.
Public/Granted literature
- US20210103946A1 DIFFERENTIAL BID GENERATION USING MACHINE LEARNING Public/Granted day:2021-04-08
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