Chapter 9. Classifications, Recommendations, and Finding Relationships
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) ...