Video recommendation with multi-gate mixture of experts soft actor critic
US11922287B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 15, 2020 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Oct 29, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/4826
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Described herein are embodiments of a reinforcement learning based large-scale multi-objective ranking system. Embodiments of the system may be used for optimizing short-video recommendation on a video sharing platform. Multiple competing ranking objective and implicit selection bias in user feedback are the main challenges in real-world platform. In order to address those challenges, multi-gate mixture of experts (MMoE) and soft actor critic (SAC) are integrated together into a MMoE_SAC system. Experiment results demonstrate that embodiments of the MMoE_SAC system may greatly reduce a loss function compared to systems only based on single strategies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.