Recommender Engines - What are they? Where do they live? What do they feed on?
summary
Overview of recommender systems: what they are, where they’re used (movies, music, news, books, search results, products) and how they work. Presents implementations in Python and on Google Cloud Platform (TensorFlow and Cloud ML Engine), demonstrates different recommendation techniques and real-world case studies such as movie recommendation.
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chapters (10)
- 0:00Introduction
- 1:03What is a recommender engine
- 6:00History of recommender systems
- 10:15Types of recommender engines
- 14:05Content-based and collaborative filtering
- 18:44Netflix and the recommendation competition
- 23:24Netflix recommendation parameters
- 26:57Challenges in recommender systems
- 27:20Practical demo
- 31:37Summary
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