System and method for automatic parameter tuning of campaign planning with hierarchical linear programming objectives
US11315059B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 12, 2019 |
| Grant date | Apr 26, 2022 |
| Priority date | — |
| Expiry date | Jul 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.