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Predicting whether a party will purchase a product

  • US 10,416,978 B2
  • Filed: 08/08/2017
  • Issued: 09/17/2019
  • Est. Priority Date: 02/20/2013
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • a memory; and

    a processor associated with a cloud environment and operatively coupled to the memory, the processor configured to;

    send an scan utility to a set of compute devices having access to a plurality of computing environments associated with a plurality of parties, such that each compute device from the set of compute devices stores an executable associated with the scan utility in a temporary storage of that compute device and executes the executable to collect data associated with a set of computing environments from the plurality of computing environments, each computing environment from the plurality of computing environments including a set of machines, a set of applications, and a set of networks;

    receive the data from the set of compute devices;

    analyze the data using a machine learning model to determine, for each party from the plurality of parties, a value for a parameter;

    associate each party from the plurality of parties, based on the value for the parameter for that party, with at least one other party from the plurality of parties to produce a plurality of clusters, each cluster from the plurality of clusters including a set of parties from the plurality of parties having the value for the parameter for that party that differs less than a predefined degree from the value for the parameter for any other party in that cluster; and

    determine, based on revenue generation information associated with a subset of parties from a set of parties included in a cluster from the plurality of clusters, a prediction of an amount of revenue generation of a party in the set of parties and not in the subset of parties.

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