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Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items

  • US 9,690,857 B1
  • Filed: 08/31/2016
  • Issued: 06/27/2017
  • Est. Priority Date: 03/07/2013
  • Status: Active Grant
First Claim
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1. A system for monitoring electronic interactions with unique items and identifying and analyzing significant attributes of the unique items, the system comprising:

  • one or more computer readable storage devices configured to store a plurality of computer executable instructions; and

    one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to;

    electronically monitor, over a computer network, user interactions with unique items displayed by user interfaces of a plurality of user devices,wherein the electronic monitoring comprises detecting a position of a unique item displayed by a user interface at a time of the user interaction;

    generate user activity data based at least partially on the electronic monitoring of user interactions;

    apply one or more model specifications to the user activity data to generate one or more driver models, the one or more driver models configured to enable identification of which of a plurality of attributes of a selected unique item are driver attributes and to enable determination of values associated with the driver attributes, the plurality of attributes comprising at least a condition attribute and a feature attribute,wherein the applying one or more model specifications comprises using detected positions to reduce any position bias present in the user activity data, andwherein the applying one or more model specifications comprises using one or more of the following methods;

    linear regression, non-linear regression, model trees, nearest neighbor analysis;

    receive selected item data, the selected item data being related to the plurality of attributes of the selected unique item; and

    apply one or more of the generated driver models to the selected item data to identify which of the plurality of attributes of the selected unique item are driver attributes and to determine values associated with the driver attributes.

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