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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Data Wrangling Blog - Latest Comments in Google Paper on Parallel EM Algorithm using MapReduce</title><link>http://datawranglingblog.disqus.com/</link><description></description><atom:link href="https://datawranglingblog.disqus.com/google_paper_on_parallel_em_algorithm_using_mapreduce/latest.rss" rel="self"></atom:link><language>en</language><lastBuildDate>Fri, 14 Aug 2009 16:20:02 -0000</lastBuildDate><item><title>Re: Google Paper on Parallel EM Algorithm using MapReduce</title><link>http://www.datawrangling.com/google-paper-on-parallel-em-algorithm-using-mapreduce#comment-14851897</link><description>&lt;p&gt;If the paper is about using MapReduce to run collaborative filtering algorithms at scale, it is a dubious choice in my opinion to use the (tiny) MovieLens dataset, when the Netflix Prize data set (much larger) is available.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Name</dc:creator><pubDate>Fri, 14 Aug 2009 16:20:02 -0000</pubDate></item><item><title>Re: Google Paper on Parallel EM Algorithm using MapReduce</title><link>http://www.datawrangling.com/google-paper-on-parallel-em-algorithm-using-mapreduce#comment-11078423</link><description>&lt;p&gt;You still around?&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;I'm interested in MPI post #3, if you haven't lost interest...&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lance Norskog</dc:creator><pubDate>Thu, 06 Sep 2007 19:34:27 -0000</pubDate></item></channel></rss>