Nearest Neighbor Collaborative Filtering

Academy
Coursera
Kurzbeschreibung
In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First... mehr...
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 w weniger
Kursarten
E-Learning
Fachbereiche

Data Science, Machine Learning

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Kursinhalt
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.
Kurssprache
Englisch
Kursgebühr
USD 79