Using learned application flow to predict outcomes and identify trouble spots in network business transactions
US11222270B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2016 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Dec 16, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0639
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach is provided that receives, over a computer network, transaction data from a number of clients that are running an app. The approach generates association rules by inputting the transaction data to an association rule learning algorithm, such as an Apriori algorithm. Each association rule is based on a user transaction pattern and a desired result, and each association rule includes a generated confidence value that pertains to an expected performance of one of the steps included in the respective association rule. The app is then modified based on an analysis of the generated confidence values, with the app modification being directed towards improving one or more of the confidence values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.