Behavior analysis using distributed representations of event data
US11151468B1 · kind B1 · utility
39Cited by
495References
18Claims
0Family size
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Key dates
| Filing date | Jun 30, 2016 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Jun 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The features relate to artificial intelligence directed detection of user behavior based on complex analysis of user event data including language modeling to generate distributed representations of user behavior. Further features are described for reducing the amount of data needed to represent relationships between events such as transaction events received from card readers or point of sale systems. Machine learning features for dynamically determining an optimal set of attributes to use as the language model as well as for comparing current event data to historical event data are also included.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.