Invention Grant
- Patent Title: Selection bias correction for paid search in media mix modeling
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Application No.: US15708592Application Date: 2017-09-19
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Publication No.: US10445388B2Publication Date: 2019-10-15
- Inventor: David Chan , Yueqing Wang , Aiyou Chen , James Koehler , Yuxue Jin , Michael Perry , Yunting Sun
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Foley & Lardner LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F16/9535 ; G06F16/29 ; G06F16/955 ; G06Q30/02

Abstract:
Systems, methods, and computer-readable storage media that may be used to generate causal models and calculate a selection bias in mixed media. In some embodiments, the selection bias calculation is in search sponsored content in the context of mixed media modeling. In some embodiments, a method for search bias correction is based on the back-door criterion from causal inference.
Public/Granted literature
- US20190087497A1 SELECTION BIAS CORRECTION FOR PAID SEARCH IN MEDIA MIX MODELING Public/Granted day:2019-03-21
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