Recommending content using neural networks
US10438114B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2015 |
| Grant date | Oct 8, 2019 |
| Priority date | — |
| Expiry date | Aug 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for content recommendation using neural networks. One of the methods includes receiving context information for an action recommendation; processing the context information using a neural network that comprises one or more Bayesian neural network layers to generate, for each of the actions, one or more parameters of a distribution over possible action scores for the action and selecting an action from plurality of possible actions using the parameters of the distributions over the possible action scores for the action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.