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CONTENT PRE-PERSONALIZATION USING BIOMETRIC DATA

  • US 20200135039A1
  • Filed: 10/30/2018
  • Published: 04/30/2020
  • Est. Priority Date: 10/30/2018
  • Status: Active Grant
First Claim
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1. A method comprising:

  • predicting an exhibited sentiment of a certain user on being presented one or more candidate education segment, wherein the predicting is in dependence on historical sentiment parameter values of one or more user on being exposed to presented educational content, the historical sentiment parameter values being stored in a data repository, wherein the presented education segments comprise digital media content adapted for playing by a digital media player;

    selecting at least one of the one or more candidate education segment in dependence on a result of the predicting so that a selected at least one of the one or more candidate education resulting from the selecting is personalized for the certain user; and

    presenting to the certain user the selected at least one of the one or more candidate education segment.

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