Added:
websites/staging/mahout/trunk/content/users/mapreduce/recommender/userbased-5-minutes.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/mapreduce/recommender/userbased-5-minutes.html
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websites/staging/mahout/trunk/content/users/mapreduce/recommender/userbased-5-minutes.html
Thu Mar 19 21:21:45 2015
@@ -0,0 +1,368 @@
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+ </ul>
+ </div>
+</div>
+
+ <div id="content-wrap" class="clearfix">
+ <div id="main">
+ <h1 id="creating-a-user-based-recommender-in-5-minutes">Creating a
User-Based Recommender in 5 minutes</h1>
+<h2 id="prerequisites">Prerequisites</h2>
+<p>Create a java project in your favorite IDE and make sure mahout is on the
classpath. The easiest way to accomplish this is by importing it via maven as
described on the <a href="/users/basics/quickstart.html">Quickstart</a>
page.</p>
+<h2 id="dataset">Dataset</h2>
+<p>Mahout's recommenders expect interactions between users and items as input.
The easiest way to supply such data to Mahout is in the form of a textfile,
where every line has the format <em>userID,itemID,value</em>. Here
<em>userID</em> and <em>itemID</em> refer to a particular user and a particular
item, and <em>value</em> denotes the strength of the interaction (e.g. the
rating given to a movie).</p>
+<p>In this example, we'll use some made up data for simplicity. Create a file
called "dataset.csv" and copy the following example interactions into the file.
</p>
+<pre>
+1,10,1.0
+1,11,2.0
+1,12,5.0
+1,13,5.0
+1,14,5.0
+1,15,4.0
+1,16,5.0
+1,17,1.0
+1,18,5.0
+2,10,1.0
+2,11,2.0
+2,15,5.0
+2,16,4.5
+2,17,1.0
+2,18,5.0
+3,11,2.5
+3,12,4.5
+3,13,4.0
+3,14,3.0
+3,15,3.5
+3,16,4.5
+3,17,4.0
+3,18,5.0
+4,10,5.0
+4,11,5.0
+4,12,5.0
+4,13,0.0
+4,14,2.0
+4,15,3.0
+4,16,1.0
+4,17,4.0
+4,18,1.0
+</pre>
+
+<h2 id="creating-a-user-based-recommender">Creating a user-based
recommender</h2>
+<p>Create a class called <em>SampleRecommender</em> with a main method.</p>
+<p>The first thing we have to do is load the data from the file. Mahout's
recommenders use an interface called <em>DataModel</em> to handle interaction
data. You can load our made up interactions like this:</p>
+<pre>
+DataModel model = new FileDataModel(new File("/path/to/dataset.csv"));
+</pre>
+
+<p>In this example, we want to create a user-based recommender. The idea
behind this approach is that when we want to compute recommendations for a
particular users, we look for other users with a similar taste and pick the
recommendations from their items. For finding similar users, we have to compare
their interactions. There are several methods for doing this. One popular
method is to compute the <a
href="https://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient";>correlation
coefficient</a> between their interactions. In Mahout, you use this method as
follows:</p>
+<pre>
+UserSimilarity similarity = new PearsonCorrelationSimilarity(model);
+</pre>
+
+<p>The next thing we have to do is to define which similar users we want to
leverage for the recommender. For the sake of simplicity, we'll use all that
have a similarity greater than <em>0.1</em>. This is implemented via a
<em>ThresholdUserNeighborhood</em>:</p>
+<pre>UserNeighborhood neighborhood = new ThresholdUserNeighborhood(0.1,
similarity, model);</pre>
+
+<p>Now we have all the pieces to create our recommender:</p>
+<pre>
+UserBasedRecommender recommender = new GenericUserBasedRecommender(model,
neighborhood, similarity);
+</pre>
+
+<p>We can easily ask the recommender for recommendations now. If we wanted to
get three items recommended for the user with <em>userID</em> 2, we would do it
like this:</p>
+<pre>
+List<RecommendedItem> recommendations = recommender.recommend(2, 3);
+for (RecommendedItem recommendation : recommendations) {
+ System.out.println(recommendation);
+}
+</pre>
+
+<p>Congratulations, you have built your first recommender!</p>
+<h2 id="evaluation">Evaluation</h2>
+<p>You might ask yourself, how to make sure that your recommender returns good
results. Unfortunately, the only way to be really sure about the quality is by
doing an A/B test with real users in a live system.</p>
+<p>We can however try to get a feel of the quality, by statistical offline
evaluation. Just keep in mind that this does not replace a test with real
users!</p>
+<p>One way to check whether the recommender returns good results is by doing a
<strong>hold-out</strong> test. We partition our dataset into two sets: a
trainingset consisting of 90% of the data and a testset consisting of 10%. Then
we train our recommender using the training set and look how well it predicts
the unknown interactions in the testset.</p>
+<p>To test our recommender, we create a class called
<em>EvaluateRecommender</em> with a main method and add an inner class called
<em>MyRecommenderBuilder</em> that implements the <em>RecommenderBuilder</em>
interface. We implement the <em>buildRecommender</em> method and make it setup
our user-based recommender:</p>
+<pre>
+UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
+UserNeighborhood neighborhood = new ThresholdUserNeighborhood(0.1, similarity,
dataModel);
+return new GenericUserBasedRecommender(dataModel, neighborhood, similarity);
+</pre>
+
+<p>Now we have to create the code for the test. We'll check how much the
recommender misses the real interaction strength on average. We employ an
<em>AverageAbsoluteDifferenceRecommenderEvaluator</em> for this. The following
code shows how to put the pieces together and run a hold-out test: </p>
+<pre>
+DataModel model = new FileDataModel(new File("/path/to/dataset.csv"));
+RecommenderEvaluator evaluator = new
AverageAbsoluteDifferenceRecommenderEvaluator();
+RecommenderBuilder builder = new MyRecommenderBuilder();
+double result = evaluator.evaluate(builder, null, model, 0.9, 1.0);
+System.out.println(result);
+</pre>
+
+<p>Note: if you run this test multiple times, you will get different results,
because the splitting into trainingset and testset is done randomly. </p>
+ </div>
+ </div>
+</div>
+ <footer class="footer" align="center">
+ <div class="container">
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Modified: websites/staging/mahout/trunk/content/users/misc/mr---map-reduce.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/misc/mr---map-reduce.html
(original)
+++ websites/staging/mahout/trunk/content/users/misc/mr---map-reduce.html Thu
Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
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- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
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- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/misc/parallel-frequent-pattern-mining.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/misc/parallel-frequent-pattern-mining.html
(original)
+++
websites/staging/mahout/trunk/content/users/misc/parallel-frequent-pattern-mining.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/misc/perceptron-and-winnow.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/misc/perceptron-and-winnow.html
(original)
+++ websites/staging/mahout/trunk/content/users/misc/perceptron-and-winnow.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified: websites/staging/mahout/trunk/content/users/misc/testing.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/misc/testing.html (original)
+++ websites/staging/mahout/trunk/content/users/misc/testing.html Thu Mar 19
21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/misc/using-mahout-with-python-via-jpype.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/misc/using-mahout-with-python-via-jpype.html
(original)
+++
websites/staging/mahout/trunk/content/users/misc/using-mahout-with-python-via-jpype.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/recommender/intro-als-hadoop.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/recommender/intro-als-hadoop.html
(original)
+++
websites/staging/mahout/trunk/content/users/recommender/intro-als-hadoop.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/recommender/intro-cooccurrence-spark.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/recommender/intro-cooccurrence-spark.html
(original)
+++
websites/staging/mahout/trunk/content/users/recommender/intro-cooccurrence-spark.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/recommender/intro-itembased-hadoop.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/recommender/intro-itembased-hadoop.html
(original)
+++
websites/staging/mahout/trunk/content/users/recommender/intro-itembased-hadoop.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
Modified:
websites/staging/mahout/trunk/content/users/recommender/matrix-factorization.html
==============================================================================
---
websites/staging/mahout/trunk/content/users/recommender/matrix-factorization.html
(original)
+++
websites/staging/mahout/trunk/content/users/recommender/matrix-factorization.html
Thu Mar 19 21:21:45 2015
@@ -165,49 +165,49 @@
</li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Classification<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a href="/users/classification/bayesian.html">Naive
Bayes</a></li>
- <li><a
href="/users/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
- <li><a
href="/users/classification/logistic-regression.html">Logistic
Regression</a></li>
- <li><a
href="/users/classification/partial-implementation.html">Random Forest</a></li>
+ <li><a
href="/users/mapreduce/classification/bayesian.html">Naive Bayes</a></li>
+ <li><a
href="/users/mapreduce/classification/hidden-markov-models.html">Hidden Markov
Models</a></li>
+ <li><a
href="/users/mapreduce/classification/logistic-regression.html">Logistic
Regression</a></li>
+ <li><a
href="/users/mapreduce/classification/partial-implementation.html">Random
Forest</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/classification/breiman-example.html">Breiman example</a></li>
- <li><a
href="/users/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
+ <li><a
href="/users/mapreduce/classification/breiman-example.html">Breiman
example</a></li>
+ <li><a
href="/users/mapreduce/classification/twenty-newsgroups.html">20 newsgroups
example</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Clustering<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/clustering/k-means-clustering.html">k-Means</a></li>
- <li><a
href="/users/clustering/canopy-clustering.html">Canopy</a></li>
- <li><a href="/users/clustering/fuzzy-k-means.html">Fuzzy
k-Means</a></li>
- <li><a
href="/users/clustering/streaming-k-means.html">Streaming KMeans</a></li>
- <li><a
href="/users/clustering/spectral-clustering.html">Spectral Clustering</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-clustering.html">k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-clustering.html">Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means.html">Fuzzy k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/streaming-k-means.html">Streaming
KMeans</a></li>
+ <li><a
href="/users/mapreduce/clustering/spectral-clustering.html">Spectral
Clustering</a></li>
<li class="divider"></li>
<li class="nav-header">Commandline usage</li>
- <li><a
href="/users/clustering/k-means-commandline.html">Options for k-Means</a></li>
- <li><a
href="/users/clustering/canopy-commandline.html">Options for Canopy</a></li>
- <li><a
href="/users/clustering/fuzzy-k-means-commandline.html">Options for Fuzzy
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/k-means-commandline.html">Options for
k-Means</a></li>
+ <li><a
href="/users/mapreduce/clustering/canopy-commandline.html">Options for
Canopy</a></li>
+ <li><a
href="/users/mapreduce/clustering/fuzzy-k-means-commandline.html">Options for
Fuzzy k-Means</a></li>
<li class="divider"></li>
<li class="nav-header">Examples</li>
- <li><a
href="/users/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
+ <li><a
href="/users/mapreduce/clustering/clustering-of-synthetic-control-data.html">Synthetic
data</a></li>
<li class="divider"></li>
<li class="nav-header">Post processing</li>
- <li><a href="/users/clustering/cluster-dumper.html">Cluster
Dumper tool</a></li>
- <li><a
href="/users/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
+ <li><a
href="/users/mapreduce/clustering/cluster-dumper.html">Cluster Dumper
tool</a></li>
+ <li><a
href="/users/mapreduce/clustering/visualizing-sample-clusters.html">Cluster
visualisation</a></li>
</ul></li>
<li class="dropdown"> <a href="#" class="dropdown-toggle"
data-toggle="dropdown">Recommendations<b class="caret"></b></a>
<ul class="dropdown-menu">
- <li><a
href="/users/recommender/quickstart.html">Quickstart</a></li>
- <li><a
href="/users/recommender/recommender-first-timer-faq.html">First Timer
FAQ</a></li>
- <li><a href="/users/recommender/userbased-5-minutes.html">A
user-based recommender <br/>in 5 minutes</a></li>
- <li><a
href="/users/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
- <li><a
href="/users/recommender/recommender-documentation.html">Overview</a></li>
+ <li><a
href="/users/mapreduce/recommender/quickstart.html">Quickstart</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-first-timer-faq.html">First
Timer FAQ</a></li>
+ <li><a
href="/users/mapreduce/recommender/userbased-5-minutes.html">A user-based
recommender <br/>in 5 minutes</a></li>
+ <li><a
href="/users/mapreduce/recommender/matrix-factorization.html">Matrix
factorization-based<br/> recommenders</a></li>
+ <li><a
href="/users/mapreduce/recommender/recommender-documentation.html">Overview</a></li>
<li class="divider"></li>
<li class="nav-header">Hadoop</li>
- <li><a
href="/users/recommender/intro-itembased-hadoop.html">Intro to item-based
recommendations<br/> with Hadoop</a></li>
- <li><a href="/users/recommender/intro-als-hadoop.html">Intro
to ALS recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-itembased-hadoop.html">Intro to
item-based recommendations<br/> with Hadoop</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-als-hadoop.html">Intro to ALS
recommendations<br/> with Hadoop</a></li>
<li class="nav-header">Spark</li>
- <li><a
href="/users/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
+ <li><a
href="/users/mapreduce/recommender/intro-cooccurrence-spark.html">Intro to
cooccurrence-based<br/> recommendations with Spark</a></li>
</ul>
</li>
</ul>
