US 2020/0401880 A1 · GENERATING A RECOMMENDED TARGET AUDIENCE BASED ON DETERMINING A PREDICTED ATTENDANCE UTILIZING A MACHINE LEARNING APPROACH

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.

Claims20

Dependent claims

In a digital medium environment for organizing participation in events by distributing digital communications across computer networks, a computer-implemented method of generating a target audience, the computer-implemented method comprising:

utilizing a nearest neighbor algorithm to identify, based on features associated with a plurality of individuals, one or more individuals that satisfy a similarity threshold with respect to a set of invitees for an event;
a step for determining a predicted attendance for the event by utilizing an attendance prediction model;
and
generating a recommended target audience to achieve a target attendance for the event based on the predicted attendance for the event.

1 more element

A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computer device to:

utilize a nearest neighbor algorithm to identify, based on features associated with a plurality of individuals, one or more individuals that satisfy a similarity threshold with respect to a set of invitees for an event;
generate, by applying an attendance prediction model to the set of invitees for the event, probabilities that the invitees within the set will attend the event;
determine a predicted attendance for the event based on the probabilities that the invitees within the set will attend the event;
and
generate, based on the one or more individuals that satisfy the similarity threshold, a recommended target audience for the event to achieve, based on the predicted attendance, a target attendance for the event.

2 more elements

A system comprising:

at least one processor;
and
a non-transitory computer readable medium comprising instructions that, when executed by the at least one processor, cause the system to:
utilize an approximate nearest neighbor algorithm to identify, based on features associated with a plurality of individuals, one or more similar individuals that satisfy a similarity threshold with respect to a set of invitees for an event;
generate probabilities that the invitees within the set will attend the event;
generate attendance probabilities that the one or more similar individuals will attend the event;
determine a predicted attendance for the event based on the probabilities that the invitees within the set will attend the event by summing the probabilities that the invitees within the set will attend the event;
rank the one or more similar individuals that satisfy the similarity threshold based on the attendance probabilities that the one or more similar individuals will attend the event;
and
generate, based on the ranking of the one or more similar individuals, a recommended target audience for the event to achieve, based on the predicted attendance, a target attendance for the event.

7 more elements

Dependencies are inferred from the claim text.

Generating a recommended target audience based on determining a predicted attendance utilizing a machine learning approach

Life of this patent

Generating a recommended target audience based on determining a predicted attendance utilizing a machine learning approach

Life of this patent

Abstract

Claims20