I am trying to build a recommendation engine for a popular mobile game(ios and android). Currently the app doesn’t have a recommendation engine that is data driven. All the current recommendation engine are based on clicks and are generic.
I have around 5 million user records where only 5% of them have ever made a purchase. How do i go about building a recommendation engine for such case.
I have click events of a user session like game starting, ending, click on store item etc etc. I have user country and device information and that’s all