Dynamic prediction of online shopper's intent using a combination of prediction models
US10373177B2 · kind B2 · utility
11Cited by
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9Claims
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Key dates
| Filing date | Feb 6, 2014 |
| Grant date | Aug 6, 2019 |
| Priority date | — |
| Expiry date | May 10, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0201
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Online browsing behavior is used to predict the intent of online users dynamically. The category of online user is predicted and the prediction can be used to provide assistance to the user, if required. Such prediction is based on a combination of a Naïve's Bayes classifier and a Markov model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.