Method and system for predicting user activity levels associated with an application
US7269599B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2005 |
| Grant date | Sep 11, 2007 |
| Priority date | — |
| Expiry date | Dec 1, 2025 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99943
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for predicting a user activity level associated with an application. An activity level is a number of transactions performed by users utilizing the application per time period or a number of users utilizing the application per time period. Measurements of activity levels are assigned to a user activity metric (UAM) variable, and associated values are assigned to a set of factors. At least one correlation coefficient between each factor and the UAM is calculated. In response to a maximum correlation coefficient associated with a factor being less than a pre-defined threshold, the factor is excluded from the set of factors to facilitate forming a subset of factors associated with correlation coefficients whose absolute values are greater than or equal to the pre-defined threshold. A regression model utilizing the subset is generated to predict an activity level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.