svn commit: r1670734 - /mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

[ap...@apache.org]

Author: apalumbo
Date: Wed Apr  1 17:09:36 2015
New Revision: 1670734

URL: http://svn.apache.org/r1670734
Log:
MAHOUT-1666: broken links on website

Modified:
    mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext?rev=1670734&r1=1670733&r2=1670734&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext Wed Apr  1 17:09:36 2015
@@ -26,19 +26,19 @@ Mahout has prepared a bunch of examples
 
 #### Recommendations
 
-Check the [Recommender Quickstart](/users/mapreduce/recommender/quickstart.html) or the tutorial on [creating a userbased recommender in 5 minutes](/users/recommender/userbased-5-minutes.html).
+Check the [Recommender Quickstart](/users/recommender/quickstart.html) or the tutorial on [creating a userbased recommender in 5 minutes](/users/recommender/userbased-5-minutes.html).
 
 If you are building a recommender system for the first time, please also refer to a list of [Dos and Don'ts](/users/recommender/recommender-first-timer-faq.html) that might be helpful.
 
 #### Clustering
 
-Check the [Synthetic data](/users/mapreduce/clustering/clustering-of-synthetic-control-data.html) example.
+Check the [Synthetic data](/users/clustering/clustering-of-synthetic-control-data.html) example.
 
 #### Classification
 
-If you are interested in how to train a **Naive Bayes** model, look at the [20 newsgroups](/users/mapreduce/classification/twenty-newsgroups.html) example.
+If you are interested in how to train a **Naive Bayes** model, look at the [20 newsgroups](/users/classification/twenty-newsgroups.html) example.
 
-If you plan to build a **Hidden Markov Model** for speech recognition, the example [here](/users/mapreduce/classification/hidden-markov-models.html) might be instructive. 
+If you plan to build a **Hidden Markov Model** for speech recognition, the example [here](/users/classification/hidden-markov-models.html) might be instructive. 
 
 Or you could build a **Random Forest** model by following this [quick start page](/users/mapreduce/classification/partial-implementation.html).