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Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources

  • US 10,223,459 B2
  • Filed: 02/11/2015
  • Issued: 03/05/2019
  • Est. Priority Date: 02/11/2015
  • Status: Active Grant
First Claim
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1. A method for personalizing computerized services, the method comprising:

  • obtaining information associated with a user of a computing device from a plurality of data sources;

    determining, using a hardware processor, that a portion of information from each of the plurality of data sources is relevant to the user having a desire to attain a particular goal from a plurality of goals, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device;

    generating, using the hardware processor, a baseline profile of the user and the desire to attain the particular goal using the portion of information from each of the plurality of data sources;

    assigning, using the hardware processor, the user of the computing device into a group of users from a plurality of groups based at least in part on the particular goal and the portion of information from each of the plurality of data sources, wherein the group of users is associated with an indication that the group has achieved the particular goal and wherein each user in the group of users has a similar baseline profile to the baseline profile of the user;

    determining, using the hardware processor, a target profile associated with the user based at least in part on the particular goal and the assigned group;

    updating, using the hardware processor, a baseline profile with a current profile for the user of the computing device based on the portion of information from each of the plurality of data sources;

    comparing, using the hardware processor, the current profile with the target profile to determine a recommended action, wherein the recommended action is associated with a predicted impact on the physical or emotional state of the user and is determined to continue to advance the current profile toward the target profile, wherein the recommended action is associated with a rating;

    determining, using the hardware processor, one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities;

    causing, using the hardware processor, the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities being able to execute the recommended action;

    determining, using the hardware processor, that the recommended action has caused the current profile of the user to move towards the target profile; and

    modifying, using the hardware processor, the rating associated with the recommended action to indicate that the recommended action has caused the current profile of the user to move towards the target profile.

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