17 March 18, 06:00
Building Recommendation Engines
Recommender systems have become extremely common in recent years, and are applied in a variety of applications. This book will teach you how to understand your data and user preferences to make intelligent, accurate, and profitable decisions. You will learn to build recommender systems with popular frameworks such as R, Python, Spark, Neo4j, and Hadoop. You will get an insight into the pros and cons of each recommendation engine and when to use which recommendation to ensure each pick is the one that suits you the best.
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