28DIGITAL
Politecnico di Milano

Advanced Recommender Systems

28DIGITAL
Politecnico di Milano

Advanced Recommender Systems

Paolo Cremonesi

Instructor: Paolo Cremonesi

Access provided by Bayero University - Kano

3,626 already enrolled

23 reviews

Intermediate level

Recommended experience

Flexible schedule
Learn at your own pace

23 reviews

Intermediate level

Recommended experience

Flexible schedule
Learn at your own pace

What you'll learn

  • You will be able to use some machine learning techniques in order to build more sophisticated recommender systems.

  • You will learn how to combine different basic approaches into a hybrid recommender system, in order to improve the quality of recommendations.

  • You will know how to integrate different kinds of side information (about content or context) in a recommender system.

  • You'll learn how to use factorization machines and represent the input data, mixing together different kinds of filtering techniques.

Details to know

Taught in English

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