Invention Grant
- Patent Title: Control system for learning to rank fairness
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Application No.: US16781961Application Date: 2020-02-04
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Publication No.: US11416500B2Publication Date: 2022-08-16
- Inventor: Jean-Baptiste Frederic George Tristan , Michael Louis Wick , Swetasudha Panda
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood City
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood City
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Robert C. Kowert
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06N20/00 ; G06N20/20 ; G06F17/18 ; G06K9/62

Abstract:
A Bayesian test of demographic parity for learning to rank may be applied to determine ranking modifications. A fairness control system receiving a ranking of items may apply Bayes factors to determine a likelihood of bias for the ranking. These Bayes factors may include a factor for determining bias in each item and a factor for determining bias in the ranking of the items. An indicator of bias may be generated using the applied Bayes factors and the fairness control system may modify the ranking if the determines likelihood of bias satisfies modification criteria for the ranking.
Public/Granted literature
- US20200372035A1 Control System for Learning to Rank Fairness Public/Granted day:2020-11-26
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