Predicting user posting behavior in social media applications
US10902345B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2017 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Aug 10, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method includes extracting a plurality of topics from a plurality of unlabeled social media posts, mapping the plurality of topics to a plurality of frequencies, each frequency in the plurality of frequencies indicating how often a corresponding topic in the plurality of topics occurs in the plurality of unlabeled social media posts, and predicting, based in part on the plurality of frequencies, a future social media posting behavior of a specific social media user, wherein the future social media posting behavior includes a specific topic about which the specific social media user is likely to post at a time in the future and a frequency with which the specific topic is likely to occur in posts of the specific social media user that are created at the time in the future.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.