I have just started on working on building a recommendation engine for a e-commerce company. I have no experience in building a recommendation engine till now. We have past buying and browsing history of all customers for last one year and want to use that to build a menaingful recommendation system.
From what I read, there are 2 types of recommender systems:
- Content based filtering
- Collaborative filtering
What are the key differences between the two and how do I decide which algorithm to use in our case?
Any help would be greatly appreciated.