- 专利标题: Bayesian smoothing of confidential data values at organization level using peer organization group
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申请号: US15994106申请日: 2018-05-31
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公开(公告)号: US10719626B2公开(公告)日: 2020-07-21
- 发明人: Xi Chen
- 申请人: Microsoft Technology Licensing, LLC
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人地址: US WA Redmond
- 代理机构: Schwegman Lundberg & Woessner, P.A.
- 主分类号: G06F21/62
- IPC分类号: G06F21/62 ; G06F16/17 ; G06Q10/06 ; G06N7/00 ; G06F17/18
摘要:
In an example embodiment, submitted confidential data of a certain cohort (e.g., title, region, organization) is augmented by modeling confidential data of a more generalized cohort based on peer organizations. The modeling may be performed using Bayesian modeling and the results used to infer confidential data values for the original cohort. The inferred confidential data values can then be used to generate statistical insights for display in a graphical user interface.
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