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Detection of spam using contextual analysis of data sources

  • US 8,909,591 B1
  • Filed: 04/16/2014
  • Issued: 12/09/2014
  • Est. Priority Date: 07/26/2011
  • Status: Active Grant
First Claim
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1. A computer implemented method for identifying business listings, the method comprising:

  • determining, using one or more processors, a first frequency value of a business listing characteristic within a first plurality of business listings received from a first source, the first plurality of business listings being associated with a particular business listing context;

    determining, using the one or more processors, a second frequency value of the business listing characteristic within a second plurality of business listings received from a second source, the second plurality of business listings being associated with the particular business listing context;

    determining, using the one or more processors, a frequency differential between the first frequency value and the second frequency value;

    in response to the frequency differential exceeding a threshold differential, identifying, using the one or more processors, the business listing characteristic as a differential characteristic; and

    identifying, using the one or more processors, a particular business listing of the plurality of business listings as a spam listing using the differential characteristic.

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