Exploration for interactive recommendation system, method, and computer program product
US11410220B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2020 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Mar 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for providing improved exploration for an interactive recommendation system by leveraging intuitive user feedback. The recommendation system may provide images of recommend items and receive user feedback preferences in the form of a natural language expression. Traditional techniques for interactive recommendation systems typically rely on restricted forms of user feedback such as binary relevance responses, or feedback based on a fixed set of relative attributes. In contrast, the recommendation system described herein introduces a new approach to interactive image recommendation (or image search) that enables users to provide feedback via natural language, allowing for a more natural and effective interaction. The recommendation system may be based on formulating the task of natural-language-based interactive image recommendation as a reinforcement learning problem, and reward the recommendation system for improving the rank of the target image during each iterative interaction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.