Invention Grant
- Patent Title: Integrated GLMix and non-linear optimization architectures
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Application No.: US16834681Application Date: 2020-03-30
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Publication No.: US11544595B2Publication Date: 2023-01-03
- Inventor: Dan Xu , Chunzhe Zhang , Qing Li , Jiuling Wang , Kunal Mukesh Cholera
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04 ; G06Q50/00 ; G06Q10/10

Abstract:
In an example embodiment, a machine learned model that integrates a generalized linear mixed model (GLMix) non-linear optimization is utilized to jointly perform personalized communications targeting and volume control. The machine learned model may be trained to not only maximize user engagement with a notification generally, such as maximizing the total number of people who view, save, or apply for a job associated with a job listing in the communication, but also trained to maximize an end goal of the notification, such as the total number of people who apply for the job associated with a job listing in the communication.
Public/Granted literature
- US20210304029A1 INTEGRATED GLMIX AND NON-LINEAR OPTIMIZATION ARCHITECTURES Public/Granted day:2021-09-30
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