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Optimizing personalized recommendations with longitudinal data and a future objective

  • US 20150363502A1
  • Filed: 06/16/2014
  • Published: 12/17/2015
  • Est. Priority Date: 06/16/2014
  • Status: Abandoned Application
First Claim
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1. A computer-implemented method performed by a data processing apparatus, the method comprising:

  • receiving an identifier for each of at least two content items;

    receiving a user content item history for a user, wherein the user content item history comprises a list identifying at least one previously acquired content item;

    receiving content item metadata comprising at least one correlation between the at least one previously acquired content item and at least one of the content items for which an identifier was received, and at least one correlation between at least one of the content items for which an identifier was received and a fulfillment of a future objective;

    determining a joint probability for each of the at least two content items based on the user content item history and the content item metadata, wherein the joint probability for one of the content items comprises the probability that the one of the content items will be acquired by the user after being recommended to the user and that a future objective will be fulfilled after the one of the content items is acquired by the user; and

    sending the content item identifier for the content item with the highest joint probability from the at least two content items to be viewed by the user.

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