Inferring user demographics from user behavior using Bayesian inference
US10692127B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 12, 2016 |
| Grant date | Jun 23, 2020 |
| Priority date | — |
| Expiry date | May 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for determining or predicting user demographic information using user behaviors through a Bayesian inference. A computing system may determine demographic information (such as age or gender) of a user based on a Bayesian update and a purchase or other user action by the user. In some embodiments, the computing system may determine the household composition of a user account based on multiple purchases by the user account. The computing system may generate recommendations for the user or the user account based on the demographic information of the user or the household composition of the user account.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.