Book Image

Building Practical Recommendation Engines - Part 2 [Video]

By : Suresh Kumar Gorakala
Book Image

Building Practical Recommendation Engines - Part 2 [Video]

By: Suresh Kumar Gorakala

Overview of this book

<p>Recommendation systems allow you to gain insights into data and make a guess on what would be people's preference. It is used all over the web, be it shopping, social networking, or music. This video will teach you how to build unique end-to-end recommendation engines with various tools and enhance your skills.</p> <p>You will look at various recommendation engines such as personalized recommendation engines, real-time recommendation engines, SVD recommender systems. You will also get a quick glance into the future of recommendation systems by the end of the video. During the course of the video, you will come across creating recommendation engines with R, Python, Apache Spark, Neo4j, Apache Mahout, and more. By the end of the course, you will also learn the best practices and tricks and tips to build efficient recommender systems.</p>
Table of Contents (5 chapters)
Chapter 3
Recommendation with Neo4j
Content Locked
Section 5
Installing Neo4j on the Linux Platform
You may have come across several instances whilst coding where you need to perform repetitive operations through loops, right? In this video, we’ll see how to do that in R using for loops. - Explain the for loop’s syntax - Show how to skip an iteration - Check out how to break out from a loop