User behavior segmentation using latent topic detection
US11010345B1 · kind B1 · utility
11Cited by
779References
20Claims
0Family size
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Key dates
| Filing date | Mar 18, 2019 |
| Grant date | May 18, 2021 |
| Priority date | — |
| Expiry date | May 29, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0204
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The features relate to artificial intelligence directed compression of user event data based on complex analysis of user event data including latent feature detection and clustering. Further features are described for reducing the size of data transmitted during event processing data flows and devices such as card readers or point of sale systems. Machine learning features for dynamically determining an optimal compression as well as identifying targeted users and providing content to the targeted users based on the compressed data are also included.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.