Chapter 10. Recommender Systems
In this chapter, we will cover the following recipes:
- Collaborative filtering using explicit feedback
- Collaborative filtering using implicit feedback
Introduction
The following is Wikipedia's definition of recommender systems:
"Recommender systems are a subclass of information filtering system that seek to predict the 'rating' or 'preference' that user would give to an item."
Recommender systems have gained immense popularity in recent years. Amazon uses them to recommend books, Netflix for movies, and Google News to recommend news stories. As the proof is in the pudding, here are some examples of the impact recommendations can have (source: Celma, Lamere, 2008):
- Two-thirds of the movies watched on Netflix are recommended ...
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