Systems and methods for training and employing a machine learning system in evaluating entity pairs
US9679259B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 24, 2014 |
| Grant date | Jun 13, 2017 |
| Priority date | — |
| Expiry date | Dec 20, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A matching or pairing system and method for matching first and second entities having a greater likelihood of forming a successful pairing includes a trained machine learning system to provide heuristic values useful in determining a compatibility score for the pairing. During training of the machine learning system, a training example selection device can provide attribute values logically associated with entities engaged in historically successful pairings and a number of hypothetically successful pairings. The hypothetically successful pairings may be based at least in part on historically successful pairings where at least one attribute value logically associated with at least one entity in the pairing is varied, adjusted, or subjected to a loosened constraint. During run-time operation a screening device can screen unsuccessful pairings and forward potentially successful pairings that meet a threshold value to the neural network. The system can then determine a compatibility score for the pairing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.