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
4.1 stars
Average User Rating 4.1See what learners said
Syllabus

FAQs
How It Works
Trabalho
Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas
Ajuda dos seus colegas

Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.

Certificados
Certificados

Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.

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
Comprar cursoParticipar como ouvinte
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Acesso a materiais valendo nota

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Receba uma nota final

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Obtenha um Certificado de Curso compartilhável

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Ratings and Reviews
Rated 4.1 out of 5 of 36 ratings

This is THE BEST course in Recommendation Systems. Probably getting a bit outdated as the field is moving rapidly into deep learning and other techniques, but the problems faced by any recommendation system developer would be the same - ratings measurement, sparse matrices, ranking metrics... And THAT is probably the best contribution of the whole training: not only talking about the methods but pin-pointing the main REAL problems to solve.

REALLY GOOD!!!!!!!

Interview with Francesco Ricci

is very knowledgeable about context aware Recommender System.

great courses! They invite a lot of interviews to let me understand the sea of recommend system!