September 2017
Beginner to intermediate
412 pages
8h 55m
English
Content preview from Java Data Analysis
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Chapter 9. Recommender Systems
Most online shoppers are probably familiar with Amazon's recommender system:
Figure 9.1: Amazon.com recommendations
When a customer views one item, the website displays a list of similar items that have sold well. That comes from their recommender system accessing Amazon's (amazing) database of products, customers, and sales.
Online recommender systems are now run by many vendors of goods and services: Netflix recommending movies, Apple recommending music, Audible recommending books, Yelp recommending restaurants, and so on.
A recommender system is an algorithm that predicts a customer's preferences for products based ...
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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.