Adobe Inc.
GENERATING A RECOMMENDED TARGET AUDIENCE BASED ON DETERMINING A PREDICTED ATTENDANCE UTILIZING A MACHINE LEARNING APPROACH

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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.

Status:
Application
Type:

Utility

Filling date:

19 Jun 2019

Issue date:

24 Dec 2020