11 Recommender Systems for Predictive Analytics

DOI: 10.1201/9781003278177-11

In earlier chapters we discussed the basics of the neural and deep neural networks. Here, we will discuss recommendation systems that are widely used in our day-to-day online activities and many personal digital assistants. The rise in popularity of YouTube, Amazon, Netflix, Facebook, and many other such web services has given impetus for developing efficient recommender systems. A recommender system (RS) or recommender engine (RE) is an algorithm designed to understand user behaviors and suggest relevant items or actions to the users [1]. Recommender systems are famously known for explaining user behavior and their buying patterns.

As an example, consider shopping ...

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