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HIGH-CAPACITY MACHINE LEARNING SYSTEM

  • US 20170076198A1
  • Filed: 09/11/2015
  • Published: 03/16/2017
  • Est. Priority Date: 09/11/2015
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • applying at least two learning models to multiple data sets indicative of features associated with tuples of objects, each tuple being a pairing of a first object and a second object;

    updating parameters of a prediction model based on a linear combination of at least two result sets corresponding to the at least two learning models;

    receiving a request for identifying a compatible object for a given object based on respective features of the compatible object and the given object;

    responsive to the received request, determining, based on the updated parameters of the prediction model, a prediction value associated with the given object, the prediction value indicative of a probability of compatibility based on the respective features; and

    identifying the compatible object for the given object based on the prediction value.

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