Retraining individual-item models
US11416770B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2019 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Mar 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure include a computer-implemented method and system for determining when to retrain an individual-item model within a recommendation engine. The computer-implemented method includes defining a consumer feature vector having attributes of historical consumers that impact an individual-item model. The computer-implemented method further includes calculating a historical feature vector relating to the historical consumers. The computer-implemented method also includes determining a retraining threshold for the individual-item model and calculating a new feature vector relating to new consumers. The new feature vector containing new attribute values of the new consumers and defined by the consumer feature vector. The computer-implemented method further includes determining a distance between the historical feature vector and the new feature vector and retraining the individual-item model upon determining that the distance between the historical feature vector and the new feature vector exceeds the retraining threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.