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From p..@apache.org
Subject svn commit: r1628847 - /mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext
Date Wed, 01 Oct 2014 21:53:26 GMT
Author: pat
Date: Wed Oct  1 21:53:26 2014
New Revision: 1628847

URL: http://svn.apache.org/r1628847
Log:
CMS commit to mahout by pat

Modified:
    mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext?rev=1628847&r1=1628846&r2=1628847&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext
(original)
+++ mahout/site/mahout_cms/trunk/content/users/recommender/intro-cooccurrence-spark.mdtext
Wed Oct  1 21:53:26 2014
@@ -3,7 +3,7 @@
 Mahout provides several important building blocks for creating recommendations using Spark.
*spark-itemsimilarity* 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. *spark-rowsimilarity* can provide non-personalized
content based 
-recommendations, using textual content for example.
+recommendations and when paired with a search engine can be used to personalize content based
recommendations.
 
 Below are the command line jobs but the drivers and associated code can also be customized
and accessed from the Scala APIs.
 



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