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Building Recommendation Engines by Suresh Kumar Gorakala

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Summary

In this chapter, we learned how to build content-based recommendation engines and context-aware recommendation engines using R and Python. We modelled content-based recommendation engines in two types--the classification model and the tf-idf model approaches using R and Python. To build context-aware recommendations, we simply did an element wise multiplication between content-based recommendations and context profile of the user.

In the next chapter, we will be exploring Apache Spark, to build scalable, real-time recommendation engines.

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