svn commit: r924330 - in /websites/staging/mahout/trunk/content: ./ users/recommender/intro-cooccurrence-spark.html

[bu...@apache.org]

Author: buildbot
Date: Wed Oct  1 21:53:30 2014
New Revision: 924330

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/recommender/intro-cooccurrence-spark.html

Propchange: websites/staging/mahout/trunk/content/
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--- cms:source-revision (original)
+++ cms:source-revision Wed Oct  1 21:53:30 2014
@@ -1 +1 @@
-1628782
+1628847

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 Wed Oct  1 21:53:30 2014
@@ -249,7 +249,7 @@
 <p>Mahout provides several important building blocks for creating recommendations using Spark. <em>spark-itemsimilarity</em> can 
 be used to create "other people also liked these things" type recommendations and paired with a search engine can 
 personalize recommendations for individual users. <em>spark-rowsimilarity</em> can provide non-personalized content based 
-recommendations, using textual content for example.</p>
+recommendations and when paired with a search engine can be used to personalize content based recommendations.</p>
 <p>Below are the command line jobs but the drivers and associated code can also be customized and accessed from the Scala APIs.</p>
 <h2 id="1-spark-itemsimilarity">1. spark-itemsimilarity</h2>
 <p><em>spark-itemsimilarity</em> is the Spark counterpart of the of the Mahout mapreduce job called <em>itemsimilarity</em>. It takes in elements of interactions, which have userID, itemID, and optionally a value. It will produce one of more indicator matrices created by comparing every user's interactions with every other user. The indicator matrix is an item x item matrix where the values are log-likelihood ratio strengths. For the legacy mapreduce version, there were several possible similarity measures but these are being deprecated in favor of LLR because in practice it performs the best.</p>