Relational Bayesian modeling for electronic commerce
US7870084B2 · kind B2 · utility
6Cited by
4References
21Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Jan 18, 2008 |
| Grant date | Jan 11, 2011 |
| Priority date | — |
| Expiry date | Oct 31, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/02
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The present invention provides a language, method and system to formulate and evaluate relational Bayesian networks in an c-commerce environment. The present invention employs a specific language for constructing synthetic variables used to predict events in the Bayesian networks. The present system and language allow for efficient and accurate representation, inference, and discovery of the synthetic variables used to model web visitor behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.