Model-based matching for removing selection bias in quasi-experimental testing of mobile applications
US10372599B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2016 |
| Grant date | Aug 6, 2019 |
| Priority date | — |
| Expiry date | May 5, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/368
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments provide a system for evaluating a performance of a mobile application. During operation, the system obtains a first set of data associated with adopters of a new version of a mobile application in a partial rollout of the new version and a second set of data associated with non-adopters of the new version in the partial rollout. Next, the system applies a statistical model to the first and second sets of data to select a subset of the non-adopters as potential adopters of the new version. The system then reduces a bias in a quasi-experimental design associated with the mobile application by using the first set of data and a third set of data associated with the potential adopters to estimate an average treatment effect (ATE) between the new version and an older version of the mobile application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.