Method of training dialog generation model for recommendations, method of generating recommendations, and device
US12430516B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2022 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Oct 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method of training an information generation model, a method of generating an information, an electronic device, and a storage medium. A specific implementation solution of the method of training the information generation model includes: splitting a description information for a target object in an information pair into at least one description word, so as to obtain a description word sequence, wherein the information pair further includes a first recommendation information; inputting the description word sequence into a dialog generation model to obtain a probability vector sequence for the target object, wherein each probability vector in the probability vector sequence includes probability values for a plurality of predetermined words; and training the dialog generation model according to the probability vector sequence and the first recommendation information, so as to obtain the information generation model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.