Deep forecasted human behavior from digital content
US12106218B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2018 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Jun 14, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Modifying digital content based on predicted future user behavior is provided. Trends in propagation values corresponding to a layer of nodes in an artificial neural network are identified based on measuring the propagation values at each run of the artificial neural network. The trends in the propagation values are forecasted to generate predicted propagation values at a specified future point in time. The predicted propagation values are applied to the layer of nodes in the artificial neural network. Predicted website analytics values corresponding to a set of website variables of interest for the specified future point in time are generated based on running the artificial neural network with the predicted propagation values. A website corresponding to the set of website variables of interest is modified based on the predicted website analytics values corresponding to the set of website variables of interest for the specified future point in time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.