System and method for predicting customer behavior
US11861654B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2021 |
| Grant date | Jan 2, 2024 |
| Priority date | — |
| Expiry date | Mar 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0254
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various implementations of the invention for predicting customer behavior are described. Various implementations of the invention comprise an embedding component configured to receive and embed sequential inputs regarding a plurality of customer interactions with an online presence of a client; a plurality of causal dilated convolutional “CDC” elements configured to receive the embedded sequential inputs and to output a feature vector, where each CDC element comprises two causal dilated convolutions with regularization that is bypassed with a skip connection; a plurality of dense neural network elements configured to receive the feature vector and non-sequential inputs regarding a plurality of other customer interactions with the client, where each of the plurality of dense neural network elements comprises two dense neural networks with regularization that is bypassed with a skip connection; and an output generator configured to receive the output from the plurality of dense neural network elements and to generate a distribution of times over which a particular customer event will occur and/or a likelihood estimation that the particular customer event will occur within a particula…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.