Insider tips for building personalized recommender systems

About the author:
Frank Kane, Sundog Education founder, explains the advantages, use cases, and methodologies for deploying Recommender Systems. Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day.