Day #50 - Recommendation Systems

Recommendation Systems

• Content Based
• Collaborative (User-User / Item-Item)

Content Based Key Features - Able to recommend based on user taste and historical behavior. No need of other user data
Pros 

• No Need of Data from Other users
• Recommend New and Unpopular items

Cons

• Finding Appropriate feature is hard
• Unable to Exploit Quality judgment from other users

Collaborative Key Features - Recommendation based on similar users / similar items. 
Item-Item 

• For item-i, find other similar items
• Better than user-user
• Need enough users data
• Works on any kind of item no feature selection is needed

User-User

• Find users who have bought / rated similar items
• Hard to find users rated same items

More Advanced Methods - Latent Factor Models

Happy Learning!!!