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From conflue...@apache.org
Subject [CONF] Apache Mahout > RecommendationExamples
Date Thu, 20 Oct 2011 23:47:01 GMT
Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT)
Page: RecommendationExamples (https://cwiki.apache.org/confluence/display/MAHOUT/RecommendationExamples)


Edited by yangy:
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h1. Introduction 

This quick start page describes how to run the recommendation examples provided by Mahout.
Mahout comes with four recommendation mining examples. They are based on netflixx, jester,
grouplens and bookcrossing respectively.

h1. Steps 

h2. Testing it on one single machine 

In the examples directory type: 
{code} 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommenderEvaluatorRunner"
-Dexec.args="<OPTIONS>" 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner"
-Dexec.args="<OPTIONS>" 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.example.netflix.TransposeToByUser"
-Dexec.args="<OPTIONS>" 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.example.jester.JesterRecommenderEvaluatorRunner"
-Dexec.args="<OPTIONS>" 
mvn -q exec:java -Dexec.mainClass="org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommenderEvaluatorRunner"
-Dexec.args="<OPTIONS>" 
{code} 

Here, the command line options need only be:

{code}
-i [input file]
{code}


Note that the GroupLens example is designed for the "1 million" data set, available at http://www.grouplens.org/node/73
. And  the "input file" above is the ratings.dat contained in the zipfile from the data set
. This file has an unusual format and so has a special parser. The example code here can be
easily modified to use a regular FileDataModel and thus work on more standard input, including
the other data sets available at this site.


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