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Hadoop MapReduce v2 Cookbook - Second Edition by Thilina Gunarathne

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Chapter 9. Classifications, Recommendations, and Finding Relationships

In this chapter, we will cover:

  • Performing content-based recommendations
  • Classification using the naïve Bayes classifier
  • Assigning advertisements to keywords using the Adwords balance algorithm

Introduction

This chapter discusses how we can use Hadoop for more complex use cases like classifying a dataset and making recommendations.

The following are a few instances of some such scenarios:

  • Making product recommendations to users either based on similarities between products (for example, if a user liked a book about history, he/she might like another book on the same subject) or on user behavior patterns (for example, if two users are similar, they might like books the other has read) ...

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