predictive analytics customer-based product recommendations
I want do some predictive analytics with rapidminer. My target is to predict the next best offer for each customer. Each line in my database includes customer_id and customer attributes as well as the columns with the subcategory and how often the customer bought products within the subcategory. So, now I think decision trees or regressions could be good algorithms.
Does anyone has some advice for me?