Deep reinforcement learning for long term rewards in an online connection network
US11620595B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2020 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Aug 5, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/55
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online connection server is configured to more accurately predict connections for a viewing member of an online connection network. The online connection server may implement a machine-learning model that uses prior interactions by the viewing member to determine those connections that are likely to lead to more substantial interactions with the viewing member. The machine-learning model may be implemented using a reinforcement learning technique, such as a Deep Q network. The online connection server may further implement a state representation module that generates a state from a graph-based embedding of the viewing member profile, where the state is used to train the machine-learning model and determine an optimal candidate to recommend as a connection for the viewing member.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.