Data Science, Recommender Systems.
Utility-based methods, which are a kind of Knowledge-based, that generate recommendations through a utility function for each user. Every recommender system has drawbacks and benefits. For example, CF-based methods have the cold start problem for users and items, but maybe items won’t have this