Neural contextual bandit based computational recommendation method and apparatus
US11113745B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2020 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Apr 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and methods utilizing neural contextual bandit for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to make item recommendations using latent relations and latent representations, which can improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods use neural network modeling in automatic selection of a number of items for recommendation to a user and using feedback in connection with the recommendation for further training of the model(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.