Created by:  University of Minnesota

  • Michael D. Ekstrand

    Taught by:  Michael D. Ekstrand, Assistant Professor

    Dept. of Computer Science, Boise State University

  • Joseph A Konstan

    Taught by:  Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor

    Computer Science and Engineering
Basic Info
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.2 stars
Average User Rating 4.2See what learners said
Syllabus

FAQs
How It Works
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

Creators
University of Minnesota
The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
Pricing
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Accede a los materiales del curso

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Accede a los materiales con calificación

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Recibe una calificación final

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Obtén un Certificado de curso para compartir

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Ratings and Reviews
Rated 4.2 out of 5 of 50 ratings

The course presents the different metrics used for evaluating recommender systems. Moreover, they show many real-life applications where these metrics could be applied and the trade-offs of them. It also includes interviews with experts on the field.

wonderful!!! They teach a lot what I did not expect!

A lot of very in detail theories and metrics. I wish it could have more hands on experience.

Very Informative. Still, there isn't too much complete evaluation example invovled. It would be a great help if this course can provide some breakdown/design of a recommendaer evaluation system.