September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Chapter 8. Building Recommendation Systems with Spark and Mahout
Machine learning-based recommendation systems have become very popular and necessary in recent years in a variety of applications, such as movies, music, books, news, search queries, and products. They have brought in a dramatic change in how people buy products and find information. Recommendation systems usually recommend products to users based on their tastes and preferences. Users typically find relevant products and information that they did not know existed or did not know how to ask for.
This chapter is designed for you to understand and create recommendation systems, and will cover the following topics:
- Building recommendation systems
- Building a recommendation system with MLlib ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.