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Methods and systems for improving engagement with a recommendation engine that recommends items, peers, and services

  • US 10,600,011 B2
  • Filed: 02/27/2014
  • Issued: 03/24/2020
  • Est. Priority Date: 03/05/2013
  • Status: Active Grant
First Claim
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1. A computerized method for improving engagement with a recommendation engine that recommends items, peers, and services, comprising:

  • providing a remote server with access to user devices of a plurality of users;

    remotely electronically accessing stored data of the plurality of users via the remote server over a digital communications network, the stored data being located on two or more of the user devices of each of the users;

    automatically analyzing the stored data of each of the users using a data analyzer resident on the remote server to obtain information pertaining to the stored data;

    automatically creating a respective passive profile for each of the users using a mapping tool associated with the data analyzer which maps the information obtained from the analyzing of the stored data into newly determined keywords associated with the stored data;

    storing the respective passive profiles in a database associated with the recommendation engine for use by the recommendation engine;

    automatically providing recommendations from the recommendation engine to a respective user based on at least the respective passive profile, the recommendations comprising at least one of recommended items, peers, and services;

    tracking the users'"'"' interactions with the stored data and changes made to the stored data;

    periodically automatically updating the respective passive profiles for the users based on the tracking;

    enabling alerts to be provided to the recommendation engine when changes to the passive profiles are detected based on the updating;

    automatically constructing a query for the respective user with keywords based on the detected changes; and

    providing additional recommendations comprising at least one of additional recommended items, peers, and services returned by the query to the respective user;

    wherein;

    the stored data comprises at least software applications, computer hardware data, and electronic device data resident on the user devices, andthe passive profiles are automatically created and updated without user input once access to the user devices is provided.

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