Machine learning based system for identifying resonated connections in online connection networks
US11048972B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2019 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Feb 28, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The technical problem of identifying relevant social proof information with respect to a premium service for a given member profile in an online connection network system is addressed by, first, capturing the associated member's intent based on the member's activity on the web site provided by the online connection network system. The determined intent is used as input into a relevance machine learning model that is executed to identify the member's connection who is a subscriber to the premium service and who has been identified as the most convincing resonated connection of the member with respect to subscribing to the premium service.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.