Invention Grant
- Patent Title: Generating a recommended target audience based on determining a predicted attendance utilizing a machine learning approach
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Application No.: US16446386Application Date: 2019-06-19
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Publication No.: US11775813B2Publication Date: 2023-10-03
- Inventor: Niranjan Kumbi , Vaidyanathan Venkatraman , Rajan Madhavan , Omar Rahman , Kai Lau , Badsah Mukherji , Ajay Awatramani
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06Q10/04
- IPC: G06Q10/04 ; G06Q30/0202 ; G06N3/08 ; G06N20/00

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.
Information query