Machine-learning system and method for identifying same person in genealogical databases
US11113609B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2017 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Jul 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.