Invention Grant
- Patent Title: Ad exchange bid optimization with reinforcement learning
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Application No.: US17379959Application Date: 2021-07-19
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Publication No.: US11645679B2Publication Date: 2023-05-09
- Inventor: Danny Portman , Zachary D Jones , David Rose
- Applicant: Zeta Global Corp.
- Applicant Address: US NY New York
- Assignee: Zeta Global Corp.
- Current Assignee: Zeta Global Corp.
- Current Assignee Address: US NY New York
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N3/08 ; G06N3/04 ; G06Q30/0273 ; G06N3/084 ; G06Q30/0242 ; G06Q30/0241 ; G06Q30/0251 ; G06Q30/0204

Abstract:
A system for training a bidding model comprising: a plurality of tactics stored on at least one database; a plurality of hyperparameters; in response to an available inventory from a publisher relayed through a real time bid server, computing a bid on the available inventory; sending the bid to the real time bid server; receiving an auction result in response to the bid; calculating a plurality of rewards based on the auction result and the tactics; calculate a plurality of q values based on the rewards; calculate a plurality of losses; backpropogating the losses through the bidding model.
Public/Granted literature
- US20220020065A1 Ad Exchange Bid Optimization with Reinforcement Learning Public/Granted day:2022-01-20
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