Recommendation model training method and related apparatus
US12411897B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Jun 13, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A recommendation model training method includes selecting a positive sample in a sample set, and adding the positive sample to a training set, where the sample set includes the positive sample and negative samples, each sample includes n sample features, n≥1, and the sample features of each sample include a feature used to represent whether the sample is a positive sample or a negative sample, calculating sampling probabilities of the negative samples in the sample set by using a preset algorithm, selecting a negative sample from the sample set based on the sampling probability, and adding the negative sample to the training set, and performing training by using the samples in the training set, to obtain a recommendation model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.