Hi, I've been trying to deploy a recommendation system using https://github.com/PredictionIO/template-scala-parallel-universal-recommendation .
I've purchase history of user something like this: user_id, product_id and purchase_date, so I will be using user_id and product_id to determine the recommendation. I'm not sure if I would be able to customize the default even parameter. Do you have any suggestions like which template would be more suitable for my problem. I don't have data like rating or view state, I only have data about user and product they purchased. I need something like item based similarity as well as user based item similarity. Any help would be great Thank you Vaghawan
