Invention Grant
- Patent Title: Deterministic message distribution
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Application No.: US14814555Application Date: 2015-07-31
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Publication No.: US10650325B2Publication Date: 2020-05-12
- Inventor: Rupesh Gupta , Hsiao-Ping Tseng , Ravi Kiran Holur Vijay , Romer E. Rosales
- 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 ; H04L12/58 ; G06N5/04 ; H04L29/08

Abstract:
This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.
Public/Granted literature
- US20170032278A1 DETERMINISTIC MESSAGE DISTRIBUTION Public/Granted day:2017-02-02
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