Machine-learned desking vehicle recommendation
US11386161B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 10, 2021 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Sep 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed herein for machine-learned vehicle desking operations. A vehicle recommendation system receives a request to determine similarities between vehicles. The request can indicate an identifier of a user-specified vehicle associated with vehicle attribute values (e.g., white color, sedan body style, 2020 manufacturing year, etc.). A machine learning model can determine respective embeddings for the vehicle attribute values and the respective embeddings can be concatenated, where the concatenated embeddings represent the user-specified vehicle in one embedding. The system can determine similarity metrics of the concatenated embeddings against reference embeddings. For example, a cosine similarity value can be determined for the concatenated embedding of the user-specified vehicle and the respective reference embeddings. Each similarity metric can represent a measure of similarity between the user-specified vehicle and a given vehicle. The vehicle recommendation system provides for display identifiers of vehicles that are ranked based on the determined similarity metrics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.