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COMP9065 Recommender Systems
Most of the internet products we use today use recommender systems extensively.
Youtube, Pinterest, Netflix, Amazon, and long list of other internet based products rely
on recommender systems to filter millions of user contents and make personalized
recommendations to their users.
There are two main types of recommender system: Content-based and
collaborative-filtering type recommender system.
Content-based recommender system
This type of filter does not involve other users other than ourselves. It gives
recommendation to user based on similarity of user and item on item features.
In content-based, there will be less diversity in the recommendations, but good thing is
ti works whether user rates movies or not.