Customized coordinate ascent for ranking data records
US10635680B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 5, 2018 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Jun 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for ranking genealogical records includes using a machine learning model to rank multiple searched records based on relevancy. The relevancy may be determined by identifying features included in a record and scaling each feature by a corresponding weight factor. In addition, a method for training a machine learning model and increasing the convergence speed of the training is described. To train the model, a machine learning process is used to optimize a ranking performance metric. A set of weights corresponding to multiple features are used to rank multiple past search records in a training set. An initial set of the weights are set by the expectation values of the weights. The weights are incrementally changed to optimize the ranking performance metric. The step size of the increment is determined based on the sensitivity of the ranking performance metric relative to the step size.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.