Graph framework using heterogeneous social networks
US10264048B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2016 |
| Grant date | Apr 16, 2019 |
| Priority date | — |
| Expiry date | May 23, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a supervised machine learning algorithm is used to train a communication reply score model based on an extracted first set of features and second set of features from social networking service member profiles and activity and usage information. When a plurality of member search results is to be displayed, for the member identified in each of the plurality of member search results, the member profile corresponding to the member is parsed to extract a third set of one or more features from the member profile, activity and usage information pertaining to actions taken by the members on the social networking service is parsed to extract a fourth set of one or more features, and the extracted third set of features and fourth set of features is inputted into the communication reply score model to generate a communication reply score, which is displayed visually to a searcher.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.