You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by sm...@apache.org on 2014/03/08 23:31:26 UTC
svn commit: r1575626 -
/mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext
Author: smarthi
Date: Sat Mar 8 22:31:26 2014
New Revision: 1575626
URL: http://svn.apache.org/r1575626
Log:
Added link to Steve Cook's YouTube video tutorial on building a Simple Recommender with Mahout
Modified:
mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext
Modified: mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext?rev=1575626&r1=1575625&r2=1575626&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/general/books-tutorials-and-talks.mdtext Sat Mar 8 22:31:26 2014
@@ -44,6 +44,8 @@ given. Please keep all listings in alpha
* <a href="https://www.ibm.com/developerworks/java/library/j-mahout/index.html">Introducing Apache Mahout</a> - Grant Ingersoll - Intro to Apache Mahout focused on clustering, classification and collaborative filtering. Japanese translation available at: [http://www.ibm.com/developerworks/jp/java/library/j-mahout/](http://www.ibm.com/developerworks/jp/java/library/j-mahout/)
* <a href="http://philippeadjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with-mahout-taste/">Flexible Collaborative Filtering In Java With Mahout Taste</a> - Philippe Adjiman - Quick starting guide on how to use the collaborative filtering package of Mahout (called Taste) to quickly and flexibly create, test and compare tailored recommendation engines.
* <a href="http://www.lucidimagination.com/blog/2010/03/16/integrating-apache-mahout-with-apache-lucene-and-solr-part-i-of-3/">Integrating Mahout with Lucene and Solr</a> Three part series on ways to integrate Mahout with Lucene and Solr
+ * <a href="https://www.youtube.com/watch?v=yD40rVKUwPI">Mahout Item Recommender Tutorial using Java and Eclipse</a> - YouTube video tutorial by Steve Cook
+
# Coursework/Lectures