Classifying post types on online social networks
US11379861B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2017 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Apr 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is disclosed which includes: receiving, from a third-party content provider, a link to a structured document on an external server, where the link is associated with a post of the online social network by the third-party content provider, and retrieving the structured document from the external server, where the structured document includes content and input fields. This step is followed by extracting a predefined set of information from the structured document about the content and input fields of the structured document. The extracted set of information from the structured document are then evaluated to determine one or more feature-values of the structured document. A machine learning model is used to classify the structured document as an external lead-generation type page based on the one or more feature-values of the structured document and a notification is sent to the third-party content provider if the structured document is classified as an external lead-generation type page.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.