In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user. You will explore and implement variations of the user-user algorithm, and will explore the benefits and drawbacks of the general approach. Then you will learn the widely-practiced item-item collaborative filtering algorithm, which identifies global product associations from user ratings, but uses these product associations to provide personalized recommendations based on a user's own product ratings.
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- 1 star2.99%
NEAREST NEIGHBOR COLLABORATIVE FILTERING의 최상위 리뷰
Great learning experience about collaborative filtering!
a great class, I learned some insight in these algorithms
Very satisfied to do this, the videos are too long, very good quality and a lot of practical information.
I love it!
Loved it...many thanks Prof. Joe for bringing this content to Coursera
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