Patent Document ID: 10133878
Application ID: 14447563
Patent Flag: 1

Claim One:
1. A computer-implemented method to produce a user behavior model for a service provider, the method comprising: generating a pool of program participants from participants in a stochastic privacy program based on a personal data utilization probability guarantee associated with each participant, the personal data utilization probability guarantee defining a probability that personal data will be used in the stochastic privacy program; for each program participant in the pool, calculating a measure of marginal utility of using the personal data associated with the program participant based at least in part on the personal data utilization probability guarantee and one or more attributes associated with the program participant; based on the calculated marginal utilities, selecting a subset of program participants from the pool based on an iterative process that samples, at each iteration, a given number of program participants φ(s), greedily selects s*ϵφ(s), and removes the entire given number of program participants φ(s) from consideration in subsequent iterations; generating the user behavior model by machine learning the user behavior model using the personal data associated with the subset of program participants; and providing the user behavior model to the service provider.