Protecting private information in input understanding system

US2016203331A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016203331-A1
Application numberUS-201514592094-A
CountryUS
Kind codeA1
Filing dateJan 8, 2015
Priority dateJan 8, 2015
Publication dateJul 14, 2016
Grant date

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  5. First independent claim

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Abstract

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Examples of the present disclosure include capturing an input at a local platform and transmitting the captured input to a service platform separate from the local platform. At least one partially evaluated policy generated by the service platform is received in response to the captured input. The local platform completes the partially evaluated policy by applying information private to the local platform to the partially evaluated policy. The local platform determines a final action for responding to the captured input based on completing the partially evaluated policy.

First claim

Opening claim text (preview).

What is claimed is: 1 . A system comprising: a memory; and at least one processor connected with the memory configured to execute: capturing an input at a local platform; transmitting the captured input to a service platform separate from the local platform; receiving, from the service platform, at least one partially evaluated policy generated in response to the captured input; completing the partially evaluated policy by applying information private to the local platform to the partially evaluated policy; and determining a final action for responding to the captured input based on the completing. 2 . The system according to claim 1 , wherein the completing executed by the processor further comprising inputting the information private to the local platform into the partially evaluated policy to generate a completely evaluated policy. 3 . The system according to claim 2 , wherein the inputting comprising plugging values into the partially evaluated policy for missing features associated with the private information to generate a completely evaluated policy. 4 . The system according to claim 1 , wherein the partially evaluated policy includes conditional actions based on the information private to the local platform input in the completing. 5 . The system according to claim 1 , wherein the partially evaluated policy includes instructions as to features that need to be populated by the local platform to generate a completely evaluated policy. 6 . The system according to claim 1 , wherein the processor further configured to execute identifying non-sensitive context data associated with the captured input, and transmitting the non-sensitive context data to the service platform with the captured input for generation of the partially evaluated policy. 7 . The system according to claim 1 , wherein the processor further configured to execute reporting the final action taken by the local platform to the service platform. 8 . The system according to claim 1 , wherein the local platform is an application or service running on a processing device. 9 . The system according to claim 1 , wherein the determining determines the final action by comparing completed policies and selecting the final action based on the comparing. 10 . A computer-implemented method comprising: capturing an input at a local platform; transmitting the captured input to a service platform separate from the local platform; receiving, from the service platform, at least one partially evaluated policy generated in response to the captured input; completing the partially evaluated policy by applying information private to the local platform to the partially evaluated policy; and determining a final action for responding to the captured input based on the completing. 11 . The computer-implemented method according to claim 10 , wherein the completing further comprising inputting the information private to the local platform into the partially evaluated policy to generate a completely evaluated policy. 12 . The computer-implemented method according to claim 11 , wherein the inputting comprising plugging values into the partially evaluated policy for missing features associated with the private information to generate a completely evaluated policy. 13 . The computer-implemented method according to claim 10 , wherein the partially evaluated policy includes conditional actions based on the information private to the local platform input in the completing. 14 . The computer-implemented method according to claim 10 , wherein the partially evaluated policy includes instructions as to features that need to be populated by the local platform to generate a completely evaluated policy. 15 . The computer-implemented method according to claim 10 , further comprising identifying non-sensitive context data associated with the captured input, and transmitting the non-sensitive context data to the service platform with the captured input for generation of the partially evaluated policy. 16 . The computer-implemented method according to claim 10 , further comprising reporting the final action taken by the local platform to the service platform. 17 . The computer-implemented method according to claim 10 , wherein the determining determines the final action by comparing completed policies and selecting the final action based on the comparing. 18 . A computer-readable storage device containing instructions, that when executed on at least one processor, causing the processor to execute a process comprising: receiving an input from a local platform; generating, at a service platform separate from the local platform, at least one partially evaluated policy for responding to the received input when the service platform lacks information needed to make a final decision as to how to respond to the received input, wherein the generating applies knowledge data to the received input to generate the partially evaluated policy; and transmitting the partially evaluated policy to the local platform for further evaluation. 19 . The computer-readable storage device according to claim 18 , wherein when the instructions are executed, the generating the partially evaluated policy further comprises filling in information other than private information maintained by the local platform including parameters associated with the private information based on data available to the service platform including the knowledge data. 20 . The computer-readable storage device according to claim 18 , wherein when the instructions are executed, the generating generates a plurality of partially evaluated policies that are conditional based the information needed to make the final decision maintained by the local platform, and the transmitting transmits the plurality of partially evaluated policies to the local platform to make the final decision based on the transmitted partially evaluated policies and the private information maintained by the local platform.

Assignees

Inventors

Classifications

  • by anonymising data, e.g. decorrelating personal data from the owner's identification · CPC title

  • Protecting personal data, e.g. for financial or medical purposes · CPC title

  • Search customisation based on user profiles and personalisation · CPC title

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Frequently asked questions

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What does patent US2016203331A1 cover?
Examples of the present disclosure include capturing an input at a local platform and transmitting the captured input to a service platform separate from the local platform. At least one partially evaluated policy generated by the service platform is received in response to the captured input. The local platform completes the partially evaluated policy by applying information private to the loc…
Who is the assignee on this patent?
Microsoft Technology Licensing Llc
What technology area does this patent fall under?
Primary CPC classification G06F21/6254. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jul 14 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).