Generating semantic representations for organizations and computing peer organization groups
AssigneeMicrosoft Technology Licensing, LLC
InventorYiqun Liu
Life of this patent
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AssigneeMicrosoft Technology Licensing, LLC
InventorYiqun Liu
Estimating the term…
In an example embodiment, a confidential data architecture is extended by providing components for reliably inferring confidential data insights (e.g., median salary) for cohorts with little or no actual submitted confidential data. This is performed by inferring confidential data values based on organizations that are considered to be peers to the organization of interest. This solution involves two parts: the generation of a novel, semantic representation (embedding) of organizations to be used to compute a similarity measure between any two organizations, and the use of the semantic representation to compute a peer organization group of a given company.
A system comprising:
A computerized method, comprising:
A non-transitory machine-readable storage medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform operations comprising:
Dependencies are inferred from the claim text.