Creating a user-based recommendation engine using Mahout
In this recipe, we are going to take a look at how to use Mahout to generate user-based recommendations. The user-based recommendation engine is not available directly to be used as a Map Reduce job. We have to run it in a sequential manner, as described in the next section.
Getting ready
To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Mahout installed on it. We will also need an Eclipse-like IDE or any other IDE of your choice for code development.
How to do it...
User-based recommendations work on the simple principle of user similarities and their likelihood toward the same set of items. To implement them, we first need to create a Maven project, and add the following dependency to it:
<dependency>
<groupId>org.apache.mahout</groupId>
<artifactId>mahout-mr</artifactId>
<version>0.10.0</version>
</dependency>Next, we create a...
