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Posted to commits@mahout.apache.org by pa...@apache.org on 2015/03/08 18:10:30 UTC

svn commit: r1665055 - /mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext

Author: pat
Date: Sun Mar  8 17:10:30 2015
New Revision: 1665055

URL: http://svn.apache.org/r1665055
Log:
CMS commit to mahout by pat

Modified:
    mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext?rev=1665055&r1=1665054&r2=1665055&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/recommender/quickstart.mdtext Sun Mar  8 17:10:30 2015
@@ -4,7 +4,7 @@ Title: Recommender Quickstart
 
 Recommenders have changed over the years. Mahout contains a long list of them, which you can still use. But to get the best  out of our more modern aproach we'll need to think of the Recommender as a "model creation" component&mdash;supplied by Mahout's new spark-itemsimilarity job, and a "serving" component&mdash;supplied by a modern scalable search engine, like Solr.
 
-![image](http://postimg.org/image/6yw9b3fdn/)
+![image](http://s6.postimg.org/r0m8bpjw1/recommender_architecture.png)
 
 To integrate with your application you will collect user interactions storing them in a DB and also in a from usable by Mahout. The simplest way to do this is log interactions to csv files (user-id, item-id). The DB should be setup to contain the last n user interactions, which will form part of the query for recommendations.