Systems and methods for recommending cold-start items on a website of a retailer
US11176592B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2020 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Feb 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of training one or more first models to recommend a first item after a user has had an interaction on the web site of the online retailer with a second item, determining static features common to both the first item and the second item, training a second model to determine whether to coordinate a display of any new item as one of one or more recommended items with any of a plurality of items, and coordinating the display of the new item as one of the one or more recommended items when the one or more of the plurality of items are displayed on the website of the online retailer based on the static features of the new item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.