Customized website predictions for machine-learning systems
US11100421B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 24, 2016 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Dec 24, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
In one aspect, a request for web content is received from a user device communicatively coupled to the processing device via the network. In response to receiving the request, user information associated with the user is determined. Predicted responses of the user to each variation of a plurality of variations of the web content are determined using prediction models and the user information. The prediction models include one or more decision trees generated using a splitting criterion requiring a minimum number of positive responses to a variation and a minimum number of negative responses to the variation as a condition of considering the possible split. The variation determined to have a threshold likelihood of yielding a predicted positive response of the predicted responses is selected based on the user information. The variation is transmitted to the user device via the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.