Feature transformation of event logs in machine learning
US10860949B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2016 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | Apr 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/865
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention provide systems, methods, and computer storage media directed at transforming event logs into features for use in machine learning. In embodiments, a method may include receiving an event log for a user. The event log can indicate an occurrence of a first event associated with the user. The method can also include generating a feature value for the first event. The feature value can be indicative of an amount of time that has passed since the occurrence of the first event. Based, at least in part, on the feature value, an occurrence of a second event can be predicted utilizing a predictive model. The prediction can then be output to enable targeted content associated with the second event to be delivered to the user. Other embodiments may be described and/or claimed herein.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.