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Building Recommendation Engines by Suresh Kumar Gorakala

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Summary

In this chapter, we got introduced to various types of popular recommendation engines such as collaborative filtering, content-based recommendation engines, hybrid recommenders, context-aware systems, scalable recommenders, and graph-based, real-time recommenders.

We also learned how big data is fuelling the rise of recommendation engines and some real-world use-cases employed by major IT giants. In Chapter 3, Recommendation Engines Explained, we will learn more about these recommendations in detail. In Chapter 2, Build Your First Recommendation Engine, we learn how to build a basic recommendation engine using R.

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