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Introduction to Recommender Systems

A guide to algorithmically predicting what your customers want and when.

Netflix values the recommendation engine powering its content suggestions at $1 billion per year and Amazon says its system drives a 20-35% lift in sales annually. What makes these systems so valuable? The answer lies in the data science that powers them.

intro-to-recommender-systems
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Recommender systems predict which products will be attractive to a customer.
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Recommender systems are powerful, but not ideal for every business situation.
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Content-based and collaborative filtering are the most common approaches.
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You can evaluate your systems with common machine learning metrics.