Predicting likelihood of a successful connection between unconnected users within a social network using a learning network
US8595167B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 30, 2010 |
| Grant date | Nov 26, 2013 |
| Priority date | — |
| Expiry date | Feb 8, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/52
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for suggesting love interests and friendships based on inferred information to users within a social network is disclosed. Data is retrieved from a database. The database includes data from users that achieved relationships. The data also includes a list of each user's connections, the user's activities on the social network and the user's interests. The data is input into a network and the network is trained to predict a likelihood of a successful connection. Data from unconnected users is retrieved and put into the trained network to predict a possible relationship. A connection suggestion is sent to the two unconnected users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.