edX
MOOC / Non-credit
0
Recommender Systems: Behind the Screen
About this course
How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.
D
52/100
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- What the provider tells you
- 16/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the basic principles of recommender systems
- identify different approaches to personalization
- analyze the impact of recommendation algorithms on user experience
Machine Learning
#machine learning
#digital marketing
#algorithms
#user experience
#data analysis
#recommendation systems
#e-commerce
#personalization
#analytics
#heuristics
$189.00
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