Facilitating machine learning in an online social network
US9082084B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2013 |
| Grant date | Jul 14, 2015 |
| Priority date | — |
| Expiry date | Jul 22, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Automatic machine-learning processes and systems for an online social network are described. During operation of the online social network, a system can automatically collect labeled training events, obtain snapshots of raw entity data associated with subjects from the collected training events, produce training examples by generating features for each training event using the snapshots of entity data and current entity data, and split the training examples into a training set and a test set. Next, the system can use a machine-learning technique to train a set of models and to select the best model based on one or more evaluation metrics using the training set. The system can then evaluate the performance of the best model on the test set. If the performance of the best model satisfies a performance criterion, the system can use the best model to predict responses for the online social network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.