ARTICLE AD BOX
I’m new to machine learning and working on a simple personalized recommendation system.
Assume I already have user–movie interaction data in this format:
user_id | movie_id | rating
My goal is to generate Top-N recommendations per user.
For this type of interaction table, what are the standard model formulations used in practice?
I’m looking for a concrete ML perspective?
