svn commit: r1583167 - /mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

[ss...@apache.org]

Author: ssc
Date: Sun Mar 30 17:53:08 2014
New Revision: 1583167

URL: http://svn.apache.org/r1583167
Log:
MAHOUT-1482 Rework quickstart 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=1583167&r1=1583166&r2=1583167&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext Sun Mar 30 17:53:08 2014
@@ -1,55 +1,26 @@
 Title: Quickstart
 
-# Quickstart Instructions
+## Quickstart - Getting Mahout
 
-<a name="Quickstart-DownloadandInstallation"></a>
-## Download and Installation
+#### Download the latest release
 
-* [Download and installation](../../developers/buildingmahout.html)
+Download the latest release [here](http://www.apache.org/dyn/closer.cgi/mahout/).
 
-<a name="Quickstart-RunningtheExamples"></a>
-## Running the Examples
+#### Alternatively: Add Mahout to a maven project
 
-Many Mahout implementations run on [Apache Hadoop ](http://hadoop.apache.org). So, to
-run these examples, install the latest compatible (when using a release, see the release 
-notes, when using trunk, see parent/pom.xml) [Hadoop Common release](http://www.apache.org/dyn/closer.cgi/hadoop/common/). 
+Mahout is also available via a [maven repository](http://mvnrepository.com/artifact/org.apache.mahout) under the group id *org.apache.mahout*.
+If you would like to import the latest release of mahout into a java project, add the following dependency in your *pom.xml*:
 
-<a name="Quickstart-Clustering"></a>
-### Clustering
+    <dependency>
+        <groupId>org.apache.mahout</groupId>
+        <artifactId>mahout-core</artifactId>
+        <version>0.9</version>
+    </dependency>
 
-* [Clustering of synthetic control data](../clustering/clustering-of-synthetic-control-data.html)
-* [Visualizing Sample Clusters](../clustering/visualizing-sample-clusters.html)
-* [Clustering Seinfeld Episodes](http://blog.trifork.com/2011/04/04/how-to-cluster-seinfeld-episodes-with-mahout/) ... kindly contributed by Frank Scholten
 
+## Quickstart - Next Steps
 
-<a name="Quickstart-Classification"></a>
-### Classification
+The next steps depend on what you plan to do with Mahout. 
 
-* [Twenty Newsgroups](../clustering/twenty-newsgroups.html) ... classic example for classifying text, data is based on 20 nntp news group posts.
-* [Wikipedia Bayes Example](../wikipedia-bayes-example.html) ... classification based on wikipedia content.
-
-<a name="Quickstart-DecisionForest"></a>
-### Decision Forest
-
-* [Breiman Example](../classification/breiman-example.html)
-* [Partial Implementation](../stuff/partial-implementation.html)
-
-<a name="Quickstart-Recommendationmining"></a>
-### Recommendation mining
-
-This package comes with four examples based on netflix data, bookcrossing,
-grouplens and jester data.
-
-* See the demo section at [Recommender (Taste) documentation](../recommender/recommender-documentation.html) on how to run the demo examples.
-
-<a name="Quickstart-WheretoGoNext"></a>
-## Where to Go Next
-
-* If you are working with text, read more on [Creating Vectors from Text](creating-vectors-from-text.html)
-* To learn more on grouping items by similarity and identifying clusters
-read more on [Clustering your data](../clustering/clusteringyourdata.html)
-* If you want to classify incoming items into predefinied categories read
-more on [Classifying your data ](../classification/classifyingyourdata.html)
-* To know how to Mine frequent patterns from your data read more on [Parallel Frequent Pattern Mining](../stuff/parallel-frequent-pattern-mining.html)
-* To read more on building recommendation engines have a look at the [Recommender (Taste) documentation](../recommender/recommender-documentation.html)
- and [Taste hadoop commandline](TasteCommandLine)
+Are you interested in computing **recommendations**? Then, 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).
+For **clustering**, check the [Synthetic data](/users/clustering/clustering-of-synthetic-control-data.html) example, for **classification** have a look at the [20 newsgroups](/users/clustering/twenty-newsgroups.html) example.
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