Building Recommendation Engines

Abstract

Building Recommendation Engines is a comprehensive guide for implementing Recommendation Engines such as collaborative filtering, content based recommendation engines, context aware recommendation engines using R, Python, Spark, Mahout, Neo4j technologies. The book covers various recommendation engines widely used across industries with their implementations. This book also covers a chapter on popular datamining techniques commonly used in building recommendations and also discuss in brief about the future of recommendation engines at the end of the book.