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ANONYMOUS PERSONALIZED RECOMMENDATION METHOD

  • US 20130226946A1
  • Filed: 02/27/2012
  • Published: 08/29/2013
  • Est. Priority Date: 02/27/2012
  • Status: Active Grant
First Claim
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1. A computer-implemented method for anonymously recommending public entities, the method comprising:

  • receiving, at a client from a server, select server fingerprints selected from server fingerprints based on predetermined metrics, the server fingerprints corresponding to a plurality of public entities, each server fingerprint comprising encoded information about a corresponding public entity, wherein the encoded information is encoded to compress a size of the each server finger print;

    generating, at the client, a user fingerprint based on user information associated with a user, the user fingerprint comprising encoded user information;

    comparing, at the client, the user fingerprint with the select server fingerprints to select a server fingerprint for recommendation; and

    generating, at the client, a recommendation of a public entity corresponding to the server fingerprint for recommendation.

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