PHONES-RECOMMENDER

AI recommendation systems suggest items to users based on patterns in data.:

Collaborative Filtering

Idea: Recommend items based on user behavior or similarity between users.

User-based CF: Users similar to you liked X → Recommend X.

Item-based CF: Items similar to ones you liked → Recommend them.

Pros: No need for item content, purely behavior-based.

Cons: Cold-start problem (new users/items).