Author: smarthi
Date: Tue Aug 11 22:32:57 2015
New Revision: 1695388

URL: http://svn.apache.org/r1695388
Log:
Updated for Mahout 0.11.0 Release

Modified:
    mahout/site/mahout_cms/trunk/content/index.mdtext

Modified: mahout/site/mahout_cms/trunk/content/index.mdtext
URL: 
http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/index.mdtext?rev=1695388&r1=1695387&r2=1695388&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/index.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/index.mdtext Tue Aug 11 22:32:57 2015
@@ -27,7 +27,7 @@
     </ul>
   </div>
   <p>The three major components of Mahout are an environment for building 
scalable algorithms, many new Scala + Spark (H2O in progress) algorithms, and 
Mahout's mature Hadoop MapReduce algorithms.</p>
-  <h4>**11 Apr 2015 - Apache Mahout's next generation version 0.10.0 
released**</h4>
+  <h4>**07 Aug 2015 - Apache Mahout's next generation version 0.11.0 
released**</h4>
   <p>**Apache Mahout introduces a new math environment we call** 
[**Samsara**](http://mahout.apache.org/users/sparkbindings/home.html), 
     for its theme of universal renewal. It reflects a fundamental rethinking 
of how scalable machine learning 
     algorithms are built and customized. Mahout-Samsara is here to help people 
create their own math while providing
@@ -39,12 +39,12 @@
    a whole new degree of freedom.</p>
 
   <p>[**Mahout 
Algorithms**](http://mahout.apache.org/users/basics/algorithms.html) include 
many new 
-    implementations built for speed on Mahout-Samsara. They run on Spark and 
some on H2O, which means as 
+    implementations built for speed on Mahout-Samsara. They run on Spark 1.3+ 
and some on H2O, which means as 
     much as a 10x speed increase. You’ll find robust matrix decomposition 
algorithms as well as a **[Naive Bayes][1]** 
    classifier and collaborative filtering. The new spark-itemsimilarity 
enables the next generation of **[cooccurrence 
    recommenders][2]** that can use entire user click streams and context in 
making recommendations.</p>
 
-  <p>Visit our [release 
notes](http://mahout.apache.org/release-notes/Apache-Mahout-0.10.0-Release-Notes.pdf)
 page for details. Interested in helping? Join the <a 
href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing
 lists</a>.</p>
+  <p>Visit our [release 
notes](http://mahout.apache.org/release-notes/Apache-Mahout-0.11.0-Release-Notes.pdf)
 page for details. Interested in helping? Join the <a 
href="https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html";>Mailing
 lists</a>.</p>
 
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