Patent · US Active

System and method for automatic parameter tuning of campaign planning with hierarchical linear programming objectives

US11315059B1 · kind B1 · utility

2Cited by
4References
14Claims
0Family size

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Key dates

Filing dateJul 12, 2019
Grant dateApr 26, 2022
Priority date
Expiry dateJul 12, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q10/08
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

A system and method are disclosed for big bucket campaign planning that automatically learns weights for parameters of a weighted evaluation function. Embodiments include modeling the use of the one or more campaign operations and one or more campaignable resources as one or more campaign planning problems comprising a sequential decision problem with decision parameters, determining a campaign plan for the use of campaign operations and one or more campaignable resource, encoding a required policy of the sequential decision problem into a k-lookahead search strategy by defining an evaluation function comprising a weighted sum of features evaluated from the campaign planning problem, learning weights associated with an evaluation function that determines an effective objective function for campaign planning as a linear programming problem, and computing the parameters of the evaluation function using an iterative cross-entropy campaign planning.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.