I have the list of all events a user has taken so far. The events are like pages visited in one or more mobile apps. This data consists of which user clicked on what link at what time.
Given this data, I would like to predict what is the likely path a new user is likely to take, based on their first few clicks on those apps.
Is it possible to do this using Graph data science algorithms? The problem is the each user has at least 80-100 events but we want to predict the new user's likely paths based on their first 10-15 clicks.
I thought we could use link prediction but that is more for predicting new relationships. Please suggest what techniques I can use here.