Similar item recommendation framework using wide-and-deep-architecture
US12406291B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2022 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Mar 27, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: receiving one or more vectors representing one or more types of features for a pair of items; generating, using a similarity item model of a machine learning architecture, a prediction for a similar item, wherein the similarity item model combines a pair of separately trained machine learning models; combining a first output of the gradient boosted model and a second output of the neural network model to generate a similarity score for the pair of items; and transmitting the similar item to a first position on a carousel display of a website that concurrently displays the anchor item on the website. Other embodiments are disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.