Recommendation System Concepts

Types of Recommendation Systems

Collaborative Filtering

"Users who liked X also liked Y"

User-based CF:
1. Find users similar to target user
2. Recommend items those users liked
3. Weight by similarity score

Item-based CF:
1. Find items similar to items user liked
2. Recommend similar items
3. More scalable than user-based