Detecting attribute change from trip data
US11550858B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 30, 2018 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Jul 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for detecting and verifying closed places (e.g., claims no longer in business) from trip data are provided. A networked system accesses trip data associated with the POI. The networked system processes the trip data to generate at least two time buckets based on timestamps from the trip data associated with the POI, and calculates trip counts associated with the POI for each of the time buckets. Using a machine learning algorithm and based on the at least two time buckets, the networked system determines that the trip counts show a decline over time that indicates that the POI is likely closed. In response to the determining, the networked system updates a database to indicate the POI is closed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.