Method for predicting trip purposes using unsupervised machine learning techniques
US11526811B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Sep 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for recommending trip purposes to users of an application. Embodiments include receiving labeled travel data from the application running on a remote device including a plurality of trip purposes. Embodiments include building a topic model representing words associated with a plurality of topics. Embodiments include training a topic prediction model, using the plurality of topics and one or more features derived from each of the plurality of trip records, to output a topic based on an input trip record. Embodiments include training a purpose prediction model, using the topic model and the plurality of trip purposes, to output a trip purpose based on an input topic. The trip purpose may be recommended to a user via a user interface of the application running on the remote device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.