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Building Recommendation Engines by Suresh Kumar Gorakala

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Chapter 4. Data Mining Techniques Used in Recommendation Engines

Data mining techniques lie at the heart of recommendation engines. These data mining techniques help us extract patterns, group users, calculate similarities, predict preferences, handle sparse input data, evaluate recommendation models, and so on. In the previous chapter, we have learned about recommendation engines in detail. Though we did not get into the implementation of recommendation engines, we learned the theory behind the different types of recommendations engines, such as neighborhood-based, personalized, contextual recommenders, hybrids, and so on. In this chapter, we shall look into the popular data mining techniques currently used in building recommendation engines. ...

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