Automatic rule generation for recommendation engine using hybrid machine learning
US10922725B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2019 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | May 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The system and methods of the disclosed subject matter provide a hybrid machine learning approach for recommending items that a consumer should be shown as a next best offer. The recommendation may be based on the consumer's previous behavior, other consumers' previous behavior, and the consumer's profile. The system and methods may cluster an input dataset using an unsupervised clustering engine. The dataset output from the unsupervised clustering engine may be subsequently provided to the input of a supervised machine learning engine to generate a rules-based model. The system and methods may use the rules-based model to subsequently cluster new user data and generate recommendations based on the user's assigned cluster.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.