Feature learning on customer journey using categorical sequence data
US10692099B2 · kind B2 · utility
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23Claims
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Key dates
| Filing date | Apr 11, 2016 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | Sep 1, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.