Feature embeddings with relative locality for fast profiling of users on streaming data
US10685008B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2017 |
| Grant date | Jun 16, 2020 |
| Priority date | — |
| Expiry date | Aug 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for classification using an explicit feature map or an approximate feature map based on a relative locality measure. In at least one embodiment, a method of authenticating a user operates data points having feature vectors pertaining to user events comprises selecting an approximate feature map based on a subset of features in each data point and a relative locality measure of a cluster including a plurality of the data points; mapping, to a feature space, the subset of features in each data point and a new data point pertaining to a phone call of the user using the selected approximate feature map; determining a classification of the new data point based on its relative locality measure with respect to a cluster in the feature space; storing the classification of the new data point in a memory device; and authenticating the user during the phone call.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.