Research Question:How can I recommend the top 10 movies to certain people (users), based on their history of preference, or on the experience of similar people like them, or some other mechanism?Q Content based filtering, User based filtering, and SVD.
Content based filtering, User based filtering, and SVD are performed on the movielense data within the recommenderlab package. Their performance is also compared.
This project compares different recommendation systems for certain users, on the jokes they might like. The comparisons are based on users (UBCF) and items (IBCF). Different normalization mechanisms are also compared.
This is the singular value decomposition methods for the recommendation system, using movie lense dataset
Read Json, HTML, XML data into R
Hui (Gracie) Han Solution