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- Content-based Filtering: For a given movie, we can convert its genre and title to a scaled vector. If a user watches that movie, we will recommend to the user other movies with similar vector "directions".
- Collaborative Filtering: We can convert the ratings of users to a scaled vector ----> we can then recommend to a certain user user content based on similarity to other users
- We can incorporate an additional layer w/ latent variables that take into account the relationship between user and keywords/genres
- Latent Factor Model: 사용자와 아이템을, 잠재적인 차원(Factor)들을 사용해 나타낼 수 있다고 보는 모델이다.
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