Recommendation model training method, recommendation method, apparatus, and computer-readable medium
US12038986B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2021 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Aug 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0282
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application provides a recommendation model training method in the artificial intelligence (AI) field. The training method includes: obtaining a first training sample; processing attribute information of a first user and information about a first recommended object based on an interpolation model, to obtain an interpolation prediction label of the first training sample; and performing training by using the attribute information of the first user and the information about the first recommended object as an input to a recommendation model and using the interpolation prediction label of the first training sample as a target output value of the recommendation model, to obtain a trained recommendation model. According to the technical solutions of this application, impact of training data bias on recommendation model training can be alleviated, and recommendation model accuracy can be improved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.