Overview
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Explore the world of recommendation engines in this 30-minute EuroPython Conference talk by Adriana Dorneles. Discover how these systems influence daily life and learn about their implementation by companies like Netflix and Amazon. Gain insights into the core components of recommendation engines, making this talk ideal for beginners and those seeking to expand their knowledge. By the end of the session, acquire the skills to create your own recommendation system and learn where to find additional resources. The talk covers the definition and importance of recommendation engines, steps involved in recommendations, various algorithms used, basic statistics for distance and correlation, and includes a practical example. Delve into content-based and collaborative recommendations, user-based filtering, and the process of building a recommendation system, complete with database creation, similarity calculations, and prediction code.
Syllabus
Introduction
Who is Adriana
What is recommendation system
Amazon YouTube Netflix
Prediction and rating
Recommendation models
Contentbased recommendations
Collaborative recommendations
Userbased filtering
Collaborative filtering
Building a recommendation system
My recommendation database
Similarity calculation
Prediction
Recommendation code
Recommendation predictions
Taught by
EuroPython Conference