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Privacy-preserving cookies for personalization without user tracking

  • US 10,108,817 B2
  • Filed: 09/26/2014
  • Issued: 10/23/2018
  • Est. Priority Date: 09/26/2014
  • Status: Active Grant
First Claim
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1. A computer-implemented process for creating a privacy-preserving data structure representing an obfuscated user profile to provide personalization for online services without user tracking, comprising:

  • encoding a user profile into a data structure that has naturally occurring noise and that efficiently supports noise addition; and

    injecting noise into the encoded data structure to create the privacy-preserving data structure representing the obfuscated user profile that allows personalized online services to be provided to a user while maintaining a specified level of user privacy,wherein the noise injected into the encoded data structure is automated to allow for a tradeoff between the specified level of user privacy and a level of personalization, andwherein the noise injected is automated by using a personalization prediction model that computes a loss of personalization using online histories for a set of users and independently varying a number of hash functions and an amount of noise used to build the privacy-preserving structure.

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