Model with usage data compensation
US12423381B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 6, 2021 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Nov 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a machine learning model is provided. The method includes receiving labeled training data in the machine learning model, the received labeled training data including content data for items accessible to a user and input usage data representing recorded interaction between the user and the items, wherein the received content data for each item includes data representing intrinsic attributes of the item. The method further includes selecting a set of the input usage data that excludes input usage data for a proper subset of the items and training the machine learning model based on both the content data and the selected set of input usage data of the received labeled training data for the items.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.