Generating a recommended target audience based on determining a predicted attendance utilizing a machine learning approach
US11775813B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2019 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | Mar 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a recommended target audience based on determining a predicted attendance utilizing a neural network approach. For example, the disclosed systems can utilize an approximate nearest neighbor algorithm to identify individuals that are within a similarity threshold of invitees for an event. In addition, the disclosed systems can implement an attendance prediction model to determine a probability of an invitee attending the event. The disclosed systems can further determine a predicted attendance for an event based on the individual probabilities. Based on identifying the similar individuals to, and the attendance probabilities for, the invitees, the disclosed systems can generate a recommended target audience to satisfy a target attendance for an event based on a predicted attendance for the event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.