Method and system for event prediction using spatio-temporally sampled data
US11922441B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2022 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Mar 31, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/008
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for training and using predictive models to predict the occurrence of an event within a software application. An example method generally generating a spatially sampled data set for a set of users of a software application. The spatially sampled data set includes, for each respective user of the set of users, an amount of time the user has spent, a number of discrete portions of the software application the user has visited, and an indication of whether the user has completed a defined task. A spatio-temporally sampled data set for users in the spatially sampled data set is generated, including, for each respective user in the spatially sampled data set, a plurality of candidate timestamps. A predictive model is trained based on the spatio-temporally sampled data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.