Machine Learning: Recommendation Systems Questions — Flashcards | Machine Learning 101 | FatSkills

Machine Learning: Recommendation Systems Questions — Flashcards

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A recommendation system is a type of Information filtering Systems that seeks to predict the rating or the preference a user might give to an item. Basically, a recommendation system is an algorithm that suggests relevant items to users.

Some common Recommendation Systems with Machine Learning are:
1) Collaborative Filtering.
2) Content-based Filtering.
3) Personalized Video Ranker.
4) Candidate Generation Network.
5) Knowledge-based Recommender systems.

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What are the 3 approaches to recommender systems?
1) Content based tags, labels 2) Collaborative If a person A has the same opinion as a person B on an issue, A is more likely to have B's opinion on a different issue 3) Latent factor based a set of factors that very specific to the domain, but hidden
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