Tracking Event Attendance

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive one or more input signals comprising one or more event signals associated with an event and one or more user signals associated with a user,
• wherein the input signals comprise one or more time-based signals, and each time-based signal comprises an event time, a user arrival time, or a combination thereof,
• wherein the input signals further comprise one or more location-based signals, and each location-based signal comprises an event location, a user location, or a combination thereof;
• determine, using a trained machine-learning model, whether the user attended the event according to the input signals;
• and
• present, to a target user, an indication, based on the determining, of whether the user attended the event.

A system comprising:

• one or more processors;
• and
• one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to:
• receive one or more input signals comprising one or more event signals associated with an event and one or more user signals associated with a user,
• wherein the input signals comprise one or more time-based signals, and each time-based signal comprises an event time, a user arrival time, or a combination thereof,
• wherein the input signals further comprise one or more location-based signals, and each location-based signal comprises an event location, a user location, or a combination thereof;
• determine, using a trained machine-learning model, whether the user attended the event according to the input signals;
• and
• present, to a target user, an indication, based on the determining, of whether the user attended the event.