Patent Document ID: 7536348
Application ID: 11683976
Patent Flag: 1

Claim One:
1. An article comprising a tangible machine-readable storage medium embodying instructions that when performed by one or more processors result in operations comprising: statistically generating a predictive model of debt collection likelihood using historical data of delinquent debt accounts, specific collection methods used in each debt account, and the success of the collection methods used in each said debt account; storing said predictive model; generating a collector's notes model using said historical data of delinquent debt accounts; storing said statistically generated collectors' notes model, said statistically generated collectors' notes model using different types of collectors' notes' subject matter determining a collectors' notes word space; wherein said different types of collectors' notes' subject matter comprises information to determine prior actions taken and circumstances associated with said account; receiving data of a currently delinquent debt account; transforming collectors' notes of said currently delinquent debt account into a mathematical representation thereof and performing any of: comparing said document mathematical representation against a mathematical representation of said collectors' notes model, determining a subject matter similarities result based on the comparison, and using said result as input into said predictive model; using components of said document mathematical representation as input into said predictive model; selecting a collection method; generating a signal indicative of the likelihood of collecting on the currently delinquent debt by applying the data of the currently delinquent debt account and the selected collection method to the predictive model; and providing a recommendation for prioritizing collection resource expenditures by using said signal indicative of the likelihood of collecting on the currently delinquent debt for, prioritizing collection resource expenditures.