Class 1: General Introduction to Recommender System

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What you should do before the class

Please read the blog post below: "Comprehensive Guide to build a Recommendation Engine from scratch"

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High-level introduction to the recommendation engine

Please read the above blog post before the first class. Explain the below concepts:

• What is the purpose of the recommendation engine? (5 minutes)
• What is content-based filtering? (5 minutes)
• What is collaborative filtering? (5 minutes)
• Why is popularity important in recommendation engines? (5 minutes)
• What is matrix factorization? (5 minutes)
• How to use matrix factorization in recommendation engine? (5 minutes)
• Why evaluation of recommendation engine is tricky? (5 minutes)
• What are the typical evaluation metrics? (10 minutes)

Please use slides to convey your ideas when answering the above questions.