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System and method for predicting card member spending using collaborative filtering

  • US 8,204,784 B2
  • Filed: 06/22/2010
  • Issued: 06/19/2012
  • Est. Priority Date: 12/28/2004
  • Status: Expired due to Fees
First Claim
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1. A method, comprising:

  • filtering, by a computer for filtering financial transaction data, a data set to generate a set of candidate merchants for the selected account holder, wherein the data set corresponds to a selected account holder of a plurality of account holders, and wherein the data set corresponds to financial transactions of the plurality of account holders with a plurality of merchants; and

    generating, by the computer, for the selected account holder, a probability of acceptance for each of the candidate merchants, wherein the probability of acceptance (P) is determined by;

    P=A+(B*A−

    K)), wherein;

    A is a number of account holders having transactions with both the candidate merchant and an identified merchant;

    K is a constant;

    B is a value corresponding to a ratio of A to a total number of account holder transactions with the identified merchant; and

    a value of (A−

    K) is set to zero if its determined value results in a negative number.

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