Design Event Recommendations

Event recommendation is the time-sensitive recommendation question: rank activities a user might actually attend before those activities expire. Meta asks it as an ML system design problem, including detailed discussion of model architecture. We follow the Interview Framework, reusing the retrieval and ranking foundations from video recommendations and concentrating on event availability and attendance prediction.

The core prompt is broad. The product scope, numbers, and measurement choices below are explicit walkthrough assumptions to clarify with the interviewer, not additional reported requirements.