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From isa...@apache.org
Subject svn commit: r1538467 [4/20] - in /mahout/site/mahout_cms: ./ cgi-bin/ content/ content/css/ content/developers/ content/general/ content/images/ content/js/ content/users/ content/users/basics/ content/users/classification/ content/users/clustering/ co...
Date Sun, 03 Nov 2013 21:36:27 GMT
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+Title: FAQ
+The Official Mahout FAQ
+
+*General*
+
+1. [What is Apache Mahout?](#whatis.html)
+1. [What does the name mean?](#mean.html)
+1. [Where can I find the origins of the Mahout project? ](#historical.html)
+1. [Where can I download Mahout logo? ](#logo.html)
+1. [Where can I download Mahout slide presentations? ](#presentations.html)
+
+*Algorithms*
+1. [What algorithms are implemented in Mahout?](#algos.html)
+1. [What algorithms are missing from Mahout?](#todo.html)
+
+
+<a name="FAQ-*Answers*"></a>
+# *Answers*
+
+
+<a name="FAQ-General"></a>
+## General
+
+
+<a name="FAQ-{anchor:whatIs}WhatisApacheMahout?"></a>
+### {anchor:whatIs}What is Apache Mahout?
+
+Apache Mahout is a suite of machine learning libraries designed to be
+scalable and robust
+
+<a name="FAQ-{anchor:mean}Whatdoesthenamemean?"></a>
+### {anchor:mean}What does the name mean?
+
+The name [Mahout](http://en.wikipedia.org/wiki/Mahout)
+ was original chosen for it's association with the [Apache Hadoop|http://hadoop.apache.org]
+ project.  A Mahout is a person who drives an elephant (hint: Hadoop's logo
+is an elephant.)  We just wanted a name that complemented Hadoop but we see
+our project as a good driver of Hadoop in the sense that we will be using
+and testing it.  We are not, however, implying that we are controlling
+Hadoop's development.
+
+<a name="FAQ-{anchor:historical}WherecanIfindtheoriginsoftheMahoutproject?"></a>
+### {anchor:historical}Where can I find the origins of the Mahout project?
+
+See [http://ml-site.grantingersoll.com](http://ml-site.grantingersoll.com)
+ for old wiki and mailing list archives (all read-only)
+
+<a name="FAQ-{anchor:logo}WherecanIdownloadMahoutlogo?"></a>
+### {anchor:logo}Where can I download Mahout logo?
+
+See [MAHOUT-335](https://issues.apache.org/jira/browse/MAHOUT-335)
+
+
+<a name="FAQ-{anchor:presentations}WherecanIdownloadMahoutslidepresentations?"></a>
+### {anchor:presentations} Where can I download Mahout slide presentations?
+
+* [Books, Tutorials and Talks ](https://cwiki.apache.org/confluence/display/MAHOUT/Books+Tutorials+and+Talks)
+ Wiki page containing an overview of all presentations with links to slides
+where available.
+
+<a name="FAQ-Algorithms"></a>
+## Algorithms
+
+<a name="FAQ-{anchor:algos}WhatalgorithmsareimplementedinMahout?"></a>
+### {anchor:algos} What algorithms are implemented in Mahout?
+
+We are interested in a wide variety of machine learning algorithms. Many of
+which are already implemented in Mahout. You can find them [here ](http://cwiki.apache.org/confluence/display/MAHOUT/Algorithms)
+.
+
+<a name="FAQ-{anchor:todo}WhatalgorithmsaremissingfromMahout?"></a>
+### {anchor:todo} What algorithms are missing from Mahout?
+
+There are many machine learning algorithms that we would like to have in
+Mahout, including some from the paper [http://www.cs.stanford.edu/people/ang/papers/nips06-mapreducemulticore.pdf](http://www.cs.stanford.edu/people/ang/papers/nips06-mapreducemulticore.pdf)
+. If you have an algorithm or an improvement to an algorithm that you would
+like to implement, by all means submit a patch.

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+Title: Glossary
+This is a list of common glossary terms used on both the mailing lists and
+around the site. Where possible I have tried to provide a link to more
+in-depth explanations from the web
+
+{children:excerpt=true|style=h4}

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+Title: Mahout Benchmarks
+<a name="MahoutBenchmarks-Introduction"></a>
+# Introduction
+
+TODO:  YMMV
+
+<a name="MahoutBenchmarks-Recommenders"></a>
+# Recommenders
+
+<a name="MahoutBenchmarks-ARuleofThumb"></a>
+## A Rule of Thumb
+
+100M preferences are about the data set size where non-distributed
+recommenders will outgrow a normal-sized machine (32-bit, <= 4GB RAM). Your
+mileage will vary significantly with the nature of the data.
+
+<a name="MahoutBenchmarks-Distributedrecommendervs.Wikipedialinks(May272010)"></a>
+## Distributed recommender vs. Wikipedia links (May 27 2010)
+
+From the mailing list:
+
+I just finished running a set of recommendations based on the Wikipedia
+link graph, for book purposes (yeah, it's unconventional). I ran on my
+laptop, but it ought to be crudely representative of how it runs in a real
+cluster.
+
+The input is 1058MB as a text file, and contains, 130M article-article
+associations, from 5.7M articles to 3.8M distinct articles ("users" and
+"items", respectively). I estimate cost based on Amazon's North
+American small Linux-based instance pricing of $0.085/hour. I ran on a
+dual-core laptop with plenty of RAM, allowing 1GB per worker, so this is
+valid.
+
+In this run, I run recommendations for all 5.7M "users". You can certainly
+run for any subset of all users of course.
+
+Phase 1 (Item ID to item index mapping)
+29 minutes CPU time
+$0.05
+60MB output
+
+Phase 2 (Create user vectors)
+88 minutes CPU time
+$0.13
+Output: 1159MB
+
+Phase 3 (Count co-occurrence)
+77 hours CPU time
+$6.54
+Output: 23.6GB
+
+Phase 4 (Partial multiply prep)
+10.5 hours CPU time
+$0.90
+Output: 24.6GB
+
+Phase 5 (Aggregate and recommend)
+about 600 hours
+about $51.00
+about 10GB
+(I estimated these rather than let it run at home for days!)
+
+
+Note that phases 1 and 3 may be run less frequently, and need not be run
+every time. But the cost is dominated by the last step, which is most of
+the work. I've ignored storage costs.
+
+This implies a cost of $0.01 (or about 8 instance-minutes) per 1,000 user
+recommendations. That's not bad if, say, you want to update recs for you
+site's 100,000 daily active users for a dollar.
+
+There are several levers one could pull internally to sacrifice accuracy
+for speed, but it's currently set to pretty normal values. So this is just
+one possibility.
+
+Now that's not terrible, but it is about 8x more computing than would be
+needed by a non-distributed implementation *if* you could fit the whole
+data set into a very large instance's memory, which is still possible at
+this scale but needs a pretty big instance. That's a very apples-to-oranges
+comparison of course; different algorithms, entirely different
+environments. This is about the amount of overhead I'd expect from
+distributing -- interesting to note how non-trivial it is.
+
+<a name="MahoutBenchmarks-Non-distributedrecommendervs.KDDCupdataset(March2011)"></a>
+## Non-distributed recommender vs. KDD Cup data set (March 2011)
+
+(From the user@mahout.apache.org mailing list)
+
+I've been test-driving a simple application of Mahout recommenders (the
+non-distributed kind) on Amazon EC2 on the new Yahoo KDD Cup data set
+(kddcup.yahoo.com).
+
+In the spirit of open-source, like I mentioned, I'm committing the extra
+code to mahout-examples that can be used to run a Recommender on the input
+and output the right format. And, I'd like to publish the rough timings
+too. Find all the source in org.apache.mahout.cf.taste.example.kddcup
+
+<a name="MahoutBenchmarks-Track1"></a>
+### Track 1
+
+* m2.2xlarge instance, 34.2GB RAM / 4 cores
+* Steady state memory consumption: ~19GB
+* Computation time: 30 hours (wall clock-time)
+* CPU time per user: ~0.43 sec
+* Cost on EC2: $34.20 (!)
+
+(Helpful hint on cost I realized after the fact: you can almost surely get
+spot instances for cheaper. The maximum price this sort of instance has
+gone for as a spot instance is about $0.60/hour, vs "retail price" of
+$1.14/hour.)
+
+Resulted in an RMSE of 29.5618 (the rating scale is 0-100), which is only
+good enough for 29th place at the moment. Not terrible for "out of the box"
+performance -- it's just using an item-based recommender with uncentered
+cosine similarity. But not really good in absolute terms. A winning
+solution is going to try to factor in time, and apply more sophisticated
+techniques. The best RMSE so far is about 23.
+
+<a name="MahoutBenchmarks-Track2"></a>
+### Track 2
+
+* c1.xlarge instance: 7GB RAM / 8 cores
+* Steady state memory consumption: ~3.8GB
+* Computation time: 4.1 hours (wall clock-time)
+* CPU time per user: ~1.1 sec
+* Cost on EC2: $3.20
+
+For this I bothered to write a simplistic item-item similarity metric to
+take into account the additional info that is available: track, artist,
+album, genre. The result was comparatively better: 17.92% error rate, good
+enough for 4th place at the moment.
+
+Of course, the next task is to put this through the actual distributed
+processing -- that's really the appropriate solution.
+
+This shows you can still tackle fairly impressive scale with a
+non-distributed solution. These results suggest that the largest instances
+available from EC2 would accomodate almost 1 billion ratings in memory.
+However at that scale running a user's full recommendations would easily be
+measured in seconds, not milliseconds.
+
+<a name="MahoutBenchmarks-Clustering"></a>
+# Clustering
+
+See [MAHOUT-588](https://issues.apache.org/jira/browse/MAHOUT-588)
+
+<a name="MahoutBenchmarks-Classification"></a>
+# Classification
+
+<a name="MahoutBenchmarks-FrequentPatternsetMining"></a>
+# Frequent Patternset Mining
+

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+Title: Mahout Wiki
+Apache Mahout is a new Apache TLP project to create scalable, machine
+learning algorithms under the Apache license. 
+
+{toc:style=disc|minlevel=2}
+
+<a name="MahoutWiki-General"></a>
+## General
+[Overview](overview.html)
+ -- Mahout? What's that supposed to be?
+
+[Quickstart](quickstart.html)
+ -- learn how to quickly setup Apache Mahout for your project.
+
+[FAQ](faq.html)
+ -- Frequent questions encountered on the mailing lists.
+
+[Developer Resources](developer-resources.html)
+ -- overview of the Mahout development infrastructure.
+
+[How To Contribute](how-to-contribute.html)
+ -- get involved with the Mahout community.
+
+[How To Become A Committer](how-to-become-a-committer.html)
+ -- become a member of the Mahout development community.
+
+[Hadoop](http://hadoop.apache.org)
+ -- several of our implementations depend on Hadoop.
+
+[Machine Learning Open Source Software](http://mloss.org/software/)
+ -- other projects implementing Open Source Machine Learning libraries.
+
+[Mahout -- The name, history and its pronunciation](mahoutname.html)
+
+<a name="MahoutWiki-Community"></a>
+## Community
+
+[Who we are](who-we-are.html)
+ -- who are the developers behind Apache Mahout?
+
+[Books, Tutorials, Talks, Articles, News, Background Reading, etc. on Mahout](books-tutorials-and-talks.html)
+
+[Issue Tracker](issue-tracker.html)
+ -- see what features people are working on, submit patches and file bugs.
+
+[Source Code (SVN)](https://svn.apache.org/repos/asf/mahout/)
+ -- [Fisheye|http://fisheye6.atlassian.com/browse/mahout]
+ -- download the Mahout source code from svn.
+
+[Mailing lists and IRC](mailing-lists,-irc-and-archives.html)
+ -- links to our mailing lists, IRC channel and archived design and
+algorithm discussions, maybe your questions was answered there already?
+
+[Version Control](version-control.html)
+ -- where we track our code.
+
+[Powered By Mahout](powered-by-mahout.html)
+ -- who is using Mahout in production?
+
+[Professional Support](professional-support.html)
+ -- who is offering professional support for Mahout?
+
+[Mahout and Google Summer of Code](gsoc.html)
+  -- All you need to know about Mahout and GSoC.
+
+
+[Glossary of commonly used terms and abbreviations](glossary.html)
+
+<a name="MahoutWiki-Installation/Setup"></a>
+## Installation/Setup
+
+[System Requirements](system-requirements.html)
+ -- what do you need to run Mahout?
+
+[Quickstart](quickstart.html)
+ -- get started with Mahout, run the examples and get pointers to further
+resources.
+
+[Downloads](downloads.html)
+ -- a list of Mahout releases.
+
+[Download and installation](buildingmahout.html)
+ -- build Mahout from the sources.
+
+[Mahout on Amazon's EC2 Service](mahout-on-amazon-ec2.html)
+ -- run Mahout on Amazon's EC2.
+
+[Mahout on Amazon's EMR](mahout-on-elastic-mapreduce.html)
+ -- Run Mahout on Amazon's Elastic Map Reduce
+
+[Integrating Mahout into an Application](mahoutintegration.html)
+ -- integrate Mahout's capabilities in your application.
+
+<a name="MahoutWiki-Examples"></a>
+## Examples
+
+1. [ASF Email Examples](asfemail.html)
+ -- Examples of recommenders, clustering and classification all using a
+public domain collection of 7 million emails.
+
+<a name="MahoutWiki-ImplementationBackground"></a>
+## Implementation Background
+
+<a name="MahoutWiki-RequirementsandDesign"></a>
+### Requirements and Design
+
+[Matrix and Vector Needs](matrix-and-vector-needs.html)
+ -- requirements for Mahout vectors.
+
+[Collection(De-)Serialization](collection(de-)serialization.html)
+
+<a name="MahoutWiki-CollectionsandAlgorithms"></a>
+### Collections and Algorithms
+
+Learn more about [mahout-collections](mahout-collections.html)
+, containers for efficient storage of primitive-type data and open hash
+tables.
+
+Learn more about the [Algorithms](algorithms.html)
+ discussed and employed by Mahout.
+
+Learn more about the [Mahout recommender implementation](recommender-documentation.html)
+.
+
+<a name="MahoutWiki-Utilities"></a>
+### Utilities
+
+This section describes tools that might be useful for working with Mahout.
+
+[Converting Content](converting-content.html)
+ -- Mahout has some utilities for converting content such as logs to
+formats more amenable for consumption by Mahout.
+[Creating Vectors](creating-vectors.html)
+ -- Mahout's algorithms operate on vectors. Learn more on how to generate
+these from raw data.
+[Viewing Result](viewing-result.html)
+ -- How to visualize the result of your trained algorithms.
+
+<a name="MahoutWiki-Data"></a>
+### Data
+
+[Collections](collections.html)
+ -- To try out and test Mahout's algorithms you need training data. We are
+always looking for new training data collections.
+
+<a name="MahoutWiki-Benchmarks"></a>
+### Benchmarks
+
+[Mahout Benchmarks](mahout-benchmarks.html)
+
+<a name="MahoutWiki-Committer'sResources"></a>
+## Committer's Resources
+
+* [Testing](testing.html)
+ -- Information on test plans and ideas for testing
+
+<a name="MahoutWiki-ProjectResources"></a>
+### Project Resources
+
+* [Dealing with Third Party Dependencies not in Maven](thirdparty-dependencies.html)
+* [How To Update The Website](how-to-update-the-website.html)
+* [Patch Check List](patch-check-list.html)
+* [How To Release](http://cwiki.apache.org/confluence/display/MAHOUT/How+to+release)
+* [Release Planning](release-planning.html)
+* [Sonar Code Quality Analysis](https://analysis.apache.org/dashboard/index/63921)
+
+<a name="MahoutWiki-AdditionalResources"></a>
+### Additional Resources
+
+* [Apache Machine Status](http://monitoring.apache.org/status/)
+ \- Check to see if SVN, other resources are available.
+* [Committer's FAQ](http://www.apache.org/dev/committers.html)
+* [Apache Dev](http://www.apache.org/dev/)
+
+
+<a name="MahoutWiki-HowToEditThisWiki"></a>
+## How To Edit This Wiki
+
+How to edit this Wiki
+
+This Wiki is a collaborative site, anyone can contribute and share:
+
+* Create an account by clicking the "Login" link at the top of any page,
+and picking a username and password.
+* Edit any page by pressing Edit at the top of the page
+
+There are some conventions used on the Mahout wiki:
+
+    * {noformat}+*TODO:*+{noformat} (+*TODO:*+ ) is used to denote sections
+that definitely need to be cleaned up.
+    * {noformat}+*Mahout_(version)*+{noformat} (+*Mahout_0.2*+) is used to
+draw attention to which version of Mahout a feature was (or will be) added
+to Mahout.
+

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+Title: Mailing Lists, IRC and Archives
+
+# General
+
+Communication at Mahout happens primarily online via mailing lists. We have
+a user as well as a dev list for discussion. In addition there is a commit
+list so we are able to monitor what happens on the wiki and in svn.
+
+<a name="MailingLists,IRCandArchives-Mailinglists"></a>
+# Mailing lists
+
+<a name="MailingLists,IRCandArchives-MahoutUserList"></a>
+## Mahout User List
+
+This list is for users of Mahout to ask questions, share knowledge, and
+discuss issues. Do send mail to this list with usage and configuration
+questions and problems. Also, please send questions to this list to verify
+your problem before filing issues in JIRA. 
+
+* [Subscribe](mailto:mahout-user-subscribe@apache.org.html)
+* [Unsubscribe](mailto:mahout-user-unsubscribe@apache.org.html)
+
+<a name="MailingLists,IRCandArchives-MahoutDeveloperList"></a>
+## Mahout Developer List
+
+This is the list where participating developers of the Mahout project meet
+and discuss issues concerning Mahout internals, code changes/additions,
+etc. Do not send mail to this list with usage questions or configuration
+questions and problems. 
+
+Discussion list: 
+
+* [Subscribe](mailto:mahout-dev-subscribe@apache.org.html)
+ -- Do not send mail to this list with usage questions or configuration
+questions and problems. 
+* [Unsubscribe](mailto:mahout-dev-unsubscribe@apache.org.html)
+
+Commit notifications: 
+
+* [Subscribe](mailto:mahout-commits-subscribe@apache.org.html)
+* [Unsubscribe](mailto:mahout-commits-unsubscribe@apache.org.html)
+
+<a name="MailingLists,IRCandArchives-IRC"></a>
+# IRC
+
+Mahout's IRC channel is #mahout.  It is a logged channel.  Please keep in
+mind that it is for discussion purposes only and that (pseudo)decisions
+should be brought back to the dev@ mailing list or JIRA and other people
+who are not on IRC should be given time to respond before any work is
+committed.
+
+<a name="MailingLists,IRCandArchives-Archives"></a>
+# Archives
+
+<a name="MailingLists,IRCandArchives-OfficialApacheArchive"></a>
+## Official Apache Archive
+
+* [http://mail-archives.apache.org/mod_mbox/mahout-dev/](http://mail-archives.apache.org/mod_mbox/mahout-dev/)
+* [http://mail-archives.apache.org/mod_mbox/mahout-user/](http://mail-archives.apache.org/mod_mbox/mahout-user/)
+
+* [Mbox Archive](http://mahout.apache.org/mail/)
+
+Archives previous to becoming Apache top level project:
+
+* [http://mail-archives.apache.org/mod_mbox/lucene-mahout-dev/](http://mail-archives.apache.org/mod_mbox/lucene-mahout-dev/)
+* [http://mail-archives.apache.org/mod_mbox/lucene-mahout-user/](http://mail-archives.apache.org/mod_mbox/lucene-mahout-user/)
+
+* [Mbox Archive](http://lucene.apache.org/mail/)
+
+<a name="MailingLists,IRCandArchives-ExternalArchives"></a>
+## External Archives
+
+* [http://www.lucidimagination.com/search](http://www.lucidimagination.com/search)
+ - Search the entire Lucene ecosystem, including Mahout (archives, JIRA,
+etc.)  Powered by Solr/Lucene.
+* [MarkMail](http://mahout.markmail.org/)
+* [Nabble](http://www.nabble.com/Apache-Mahout-f32040.html)
+* [Gmane](http://dir.gmane.org/gmane.comp.apache.mahout.user)
+
+Please note the inclusion of a link to an archive does not imply an
+endorsement of that company by any of the committers of Mahout the Lucene
+PMC or the Apache Software Foundation. Each archive owner is solely
+responsible for the contents and availability of their archive.

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+Title: Powered By Mahout
+* [Intro](#PoweredByMahout-Intro)
+* [Commercial Use](#PoweredByMahout-CommercialUse)
+* [Academic Use](#PoweredByMahout-AcademicUse)
+* [Powered By Logos](#PoweredByMahout-PoweredByLogos)
+
+<a name="PoweredByMahout-Intro"></a>
+# Intro
+
+Are you using Mahout to do Machine Learning?  Care to share?
+
+*NOTE: Please add links in alphabetical order.	Links here do NOT imply
+endorsement by Mahout, its committers or the Apache Software Foundation and
+are for informational purposes only.*
+
+<a name="PoweredByMahout-CommercialUse"></a>
+# Commercial Use
+
+* Adobe AMP uses Mahout's clustering algorithms to increase video
+consumption by better user targeting. See [http://nosql.mypopescu.com/post/2082712431/hbase-and-hadoop-at-adobe](http://nosql.mypopescu.com/post/2082712431/hbase-and-hadoop-at-adobe)
+* Accenture uses Mahout as typical example for their [Hadoop Deployment Comparison Study](http://www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Hadoop-Deployment-Comparison-Study.pdf)
+* Amazon's Personalization Platform -- See [http://www.linkedin.com/groups/Apache-Mahout-2182513](http://www.linkedin.com/groups/Apache-Mahout-2182513)
+* [AOL ](http://www.aol.com)
+ use Mahout for shopping recommendations. See [http://www.slideshare.net/kryton/the-data-layer]
+* [Booz Allen Hamilton ](http://www.boozallen.com/)
+ uses Mahout's clustering algorithms. See [http://www.slideshare.net/ydn/3-biometric-hadoopsummit2010]
+* [Buzzlogic](http://www.buzzlogic.com)
+ uses Mahout's clustering algorithms to improve ad targeting
+* [Cull.tv](http://cull.tv/)
+ uses modified Mahout algorithms for content recommendations
+* !http://cdn.dataminelab.com/favicon.ico! [DataMine Lab](http://dataminelab.com)
+ uses Mahout's recommendation and clustering algorithms to improve our
+clients' ad targeting.
+* [Drupal](http://drupal.org/project/recommender)
+ users Mahout to provide open source content recommendation solutions.
+* [Evolv ](http://www.evolvondemand.com)
+ uses Mahout for its Workforce Predictive Analytics platform.
+* [Foursquare](http://www.foursquare.com)
+ uses Mahout for its [recommendation engine |http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/]
+.
+* [Idealo](http://www.idealo.de)
+ uses Mahout's recommendation engine.
+* [InfoGlutton](http://www.infoglutton.com)
+ uses Mahout's clustering and classification for various consulting
+projects.
+* [Intel](http://mark.chmarny.com/2013/07/thinking-big-about-data-at-intel.html)
+ ships Mahout as part of their Distribution for Apache Hadoop Software.
+* [Intela](http://www.intela.com/)
+ has implementations of Mahout's recommendation algorithms to select new
+offers to send tu customers, as well as to recommend potential customers to
+current offers. We are also working on enhancing our offer categories by
+using the clustering algorithms. We have a [blog post|http://intela.com/best-practices/intela-gets-smarter]
+ where we talk about it.
+* !http://ioffer.com/favicon.ico! [iOffer](http://www.ioffer.com)
+ uses Mahout's Frequent Pattern Mining and Collaborative Filtering to
+recommend items to users.
+* !http://kau.li/favicon.ico! [Kauli](http://kau.li/en)
+, one of Japanese Adnetwork, uses Mahout's clustering to handle clickstream
+data for predicting audience's interests and intents.
+* [Linked.In](http://linkedin.com)
+ Historically, we have used R for model training. We have recently started
+experimenting with Mahout for model training and are excited about it - see
+also [Hadoop World slides|https://www.quora.com/LinkedIn-Recommendations/How-does-LinkedIns-recommendation-system-work?srid=XoeG&share=1]
+.
+* [LucidWorks Big Data](http://www.lucidworks.com/products/lucidworks-big-data)
+ uses Mahout for clustering, duplicate document detection, phrase
+extraction and classification.
+* !http://mendeley.com/favicon.ico! [Mendeley](http://mendeley.com)
+ uses Mahout to power Mendeley Suggest, a research article recommendation
+service.
+* !http://mippin.com/favicon.ico! [Mippin](http://mippin.com)
+ uses Mahout's collaborative filtering engine to recommend news feeds
+* [Mobage](http://www.slideshare.net/hamadakoichi/mobage-prmu-2011-mahout-hadoop)
+ uses Mahout in their analysis pipeline
+* !http://myrrix.com/wp-content/uploads/2012/03/favicon.ico! [Myrrix](http://myrrix.com)
+ is a recommender system product built on Mahout.
+* !http://www.newscred.com/media/img/favicon.ico! [NewsCred](http://platform.newscred.com)
+ uses Mahout to generate clusters of news articles and to surface the
+important stories of the day
+* [Next Glass](http://nextglass.co/)
+ uses Mahout [http://nextglass.co/who-we-are.html#who-3]
+* [Predixion Software](http://predixionsoftware.com/predixion/NewsEvents/articleType/ArticleView/articleId/51/Predixion-Software-Demonstrating-Apache-Mahout-Integration-on-Hadoop-at-EMC-World-2012.aspx)
+ uses Mahout’s algorithms to	build predictive models on big data
+* !http://blog.radoop.eu/favicon.ico! [Radoop](http://radoop.eu)
+ provides a drag-n-drop interface for big data analytics, including Mahout
+clustering and classification algorithms
+* !https://www.researchgate.net/favicon.ico! [ResearchGate](http://www.researchgate.net/)
+, the professional network for scientists and researchers, uses Mahout's
+recommendation algorithms.
+* [Sematext](http://www.sematext.com/)
+ uses Mahout for its [Recommendation Engine|http://www.sematext.com/products/recommendation-engine/index.html]
+* [SpeedDate.com](http://www.speeddate.com)
+ uses Mahout's collaborative filtering engine to recommend member profiles
+* [Twitter](http://twitter.com)
+ uses Mahout's LDA implementation for user interest modeling, and maintains
+a (periodically sync'ed with Apache trunk) [fork|http://github.com/twitter/mahout]
+ of Mahout on GitHub
+* [Yahoo\!](http://www.yahoo.com)
+ Mail uses Mahout's Frequent Pattern Set Mining.  See [http://www.slideshare.net/hadoopusergroup/mail-antispam]
+* !http://a.imageshack.us/img823/3443/logoyf.gif! [365Media ](http://365media.com/)
+ uses *Mahout's* Classification and Collaborative Filtering algorithms in
+its Real-time system named [UPTIME|http://uptime.365media.com/]
+ and 365Media/Social
+
+<a name="PoweredByMahout-AcademicUse"></a>
+# Academic Use
+
+* [Dicode](https://www.dicode-project.eu/)
+ project uses Mahout's clustering and classification algorithms on top of
+HBase.
+* The course [Large Scale Data Analysis and Data Mining](http://www.dima.tu-berlin.de/menue/studium_und_lehre/aktuelles_semester_sommersemester_2011/aim_3_advanced_information_management)
+ at [TU Berlin|http://www.tu-berlin.de/]
+&nbsp;uses Mahout to teach students about the parallelization of data
+mining problems with Hadoop and Map/Reduce
+* Mahout is used at Carnegie Mellon University, as a comparable platform to [GraphLab](http://www.graphlab.ml.cmu.edu/)
+.
+* The [ROBUST project](http://www.robust-project.eu/)
+, co-funded by the European Commission, employs Mahout in the large scale
+analysis of online community data.
+* Mahout is used for research and data processing at [Nagoya Institute of Technology](http://www.nitech.ac.jp/eng/schools/grad/cse.html)
+, in the context of a large-scale citizen participation platform project,
+funded by the Ministry of Interior of Japan.
+* Several researches within [Digital Enterprise Research Institute](http://www.deri.ie)
+ [NUI Galway|http://www.nuigalway.ie]
+ use Mahout for e.g. topic mining and modelling of large corpora.
+* We used Mahout in the NoTube EU project, and it saved a lot of time (and a brain transplant). The only piece we've used heavily in our apps ([http://vimeo.com/user3487770http://notube.tv/](http://vimeo.com/user3487770http://notube.tv/)
+) so far is the Taste recommender, but I've been digging deeper into the
+other components. I can't claim we're a hugely famous or successful
+application, but I can say without doubt I don't regret using Mahout. It
+did what it said it would do, and easily. One nice thing about this
+community, is that Mahout is not
+over-marketed. If the nature or scale of your problem better suits other
+tools, the Mahout folk will tell you so.
+
+<a name="PoweredByMahout-PoweredByLogos"></a>
+# Powered By Logos
+
+Feel free to use our Powered By logos on your site:
+
+!mahout-logo-poweredby-55.png|border=1!
+
+
+!mahout-logo-poweredby-100.png|border=1!

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@@ -0,0 +1,23 @@
+Title: Privacy Policy
+Information about your use of this website is collected using server access
+logs and a tracking cookie. The collected information consists of the
+following:
+
+* The IP address from which you access the website;
+* The type of browser and operating system you use to access our site;
+* The date and time you access our site;
+* The pages you visit; and
+* The addresses of pages from where you followed a link to our site.
+
+Part of this information is gathered using a tracking cookie set by the
+Google Analytics service and handled by Google as described in their
+privacy policy. See your browser documentation for instructions on how to
+disable the cookie if you prefer not to share this data with Google.
+
+We use the gathered information to help us make our site more useful to
+visitors and to better understand how and when our site is used. We do not
+track or collect personally identifiable information or associate gathered
+data with any personally identifying information from other sources.
+
+By using this website, you consent to the collection of this data in the
+manner and for the purpose described above.

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+Title: Professional Support
+<a name="ProfessionalSupport-ProfessionalsupportforMahout"></a>
+# Professional support for Mahout
+
+Add yourself or your company if you are offering support for Mahout
+users.&nbsp; Please keep lists in alphabetical order.&nbsp; An entry here
+is not an endorsement by the Apache Software Foundation nor any of it's
+committers.
+
+
+<a name="ProfessionalSupport-Peopleandcompaniesforhire"></a>
+## People and companies for hire
+
+<table>
+<tr><th> Name </th><th> contact details </th><th> notes </th></tr>
+  
+  
+  
+  
+ [http://tutorteddy.com/site/free_statistics_help.php](http://tutorteddy.com/site/free_statistics_help.php)
+ |
+  
+  
+Mahout, Hadoop, NoSQL Databases [http://www.clogeny.com](http://www.clogeny.com)
+ |
+<tr><td> Ted Dunning </td><td> tdunning@apache.org </td><td> limited availability </td></tr>
+<tr><td> GridLine </td><td> [http://www.gridline.nl/contact](http://www.gridline.nl/contact)
+ </td><td> specialised in search and&nbsp;thesauri </td></tr>
+<tr><td>LucidWorks (co-founded by Grant Ingersoll)</td><td>[http://www.lucidworks.com](http://www.lucidworks.com)
+</td><td>Big data platform including Mahout as a service for clustering,
+classification and more</td></tr>
+<tr><td> Myrrix Ltd / Sean Owen </td><td> [http://myrrix.com/contact](http://myrrix.com/contact)
+ </td><td> Collaborative filtering, recommender and clustering platform </td></tr>
+<tr><td> Sematext International </td><td> [http://sematext.com/about/contact.html](http://sematext.com/about/contact.html)
+ </td><td> [http://www.sematext.com/]
+ </td></tr>
+<tr><td> Frank Scholten </td><td> frank.scholten@orange11.nl </td><td> Mahout [http://blog.orange11.nl/author/frank/](http://blog.orange11.nl/author/frank/)
+ </td></tr>
+<tr><td> Winterwell </td><td> daniel@winterwell.com </td><td> business/maths concept development &
+algorithms [http://winterwell.com](http://winterwell.com)
+ </td></tr>
+<tr><td> Jagdish Nomula </td><td> nomulaj@gmail.com </td><td> ML, Search, Algorithms, Java [http://www.kosmex.com](http://www.kosmex.com)
+ </td></tr>
+</table>
+
+<a name="ProfessionalSupport-Trainingandcourses"></a>
+## Training and courses
+
+<table>
+<tr><th> Name </th><th> contact details </th><th> notes </th></tr>
+</table>
+
+
+
+<a name="ProfessionalSupport-Talksandpresentations"></a>
+## Talks and presentations
+
+<table>
+<tr><th> Name </th><th> contact details </th><th> notes </th></tr>
+<tr><td> Isabel Drost </td><td> Mail: isabel@apache.org </td><td> If travel and accommodation
+costs are covered scheduling a talk is a lot easier. </td></tr>
+  
+  
+<tr><td> Frank Scholten </td><td> frank@jteam.nl </td><td> Mahout/Taste [http://blog.jteam.nl/author/frank/](http://blog.jteam.nl/author/frank/)
+ </td></tr>
+</table>
+
+If you are looking for local Apache people please also consider having a
+look at the [ASF Nearby Mentor Search ](http://community.zones.apache.org/)
+.

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+Title: Reference Reading
+<a name="ReferenceReading-GeneralClustering"></a>
+# General Clustering
+
+<a name="ReferenceReading-Discussions"></a>
+## Discussions
+
+* [clustering tips and tricks ](http://www.lucidimagination.com/search/document/1c3561d17fc1b81c/clustering_techniques_tips_and_tricks)
+
+<a name="ReferenceReading-TextClustering"></a>
+# Text Clustering
+
+<a name="ReferenceReading-ClusteringaspartofSearch"></a>
+## Clustering as part of Search
+
+* See Chapters on Hierarchical and Flat Clustering as part of search in the [stanford ir book](http://nlp.stanford.edu/IR-book/html/htmledition/irbook.html)
+
+<a name="ReferenceReading-GeneralBackgroundMaterials"></a>
+# General Background Materials
+
+[Q:](http://mail-archives.apache.org/mod_mbox/mahout-user/201103.mbox/%3CAANLkTi=c8kGHjvbfTCt0GyjKvvMCq=EaFsCr=_s=ykDE@mail.gmail.com%3E)
+Can someone recommend me good books on Statistics and also on Linear
+Algebra
+and Analytic Geometry which will provide enough background for
+understanding
+machine learning algorithms?
+
+<a name="ReferenceReading-"></a>
+## 
+
+The answers below focus on general background knowledge, rather than
+specifics of Mahout and associated Apache tooling. Feel free to add useful
+resources (books, but also videos, online courseware, tools), particularly
+those that are available free online.
+
+This page originated in an email thread, and its different contributors
+might not all agree on the best approach (and they might not know what's
+best for any given learner), but the resources here should give some idea
+of suitable background reading. Check the mailing list [archives](http://mail-archives.apache.org/mod_mbox/mahout-user/)
+ if you care to figure out who-said-what, or find other suggestions.
+
+Don't be overwhelmed by all the maths, you can do a lot in Mahout with some
+basic knowledge. The resources given here will help you understand your
+data better, and ask better questions both of Mahout's APIs, and also of
+the Mahout community. And unlike learning some particular software tool,
+these are skills that will remain useful decades later.
+
+h3. Books and supporting materials on statistics, machine learning,
+matrices etc.:
+
+[Gilbert Strang](http://www-math.mit.edu/~gs)
+'s [Introduction to Linear Algebra|http://math.mit.edu/linearalgebra/]
+ (*full text* online, highly recommended by several on the mahout list).
+([openlibrary](http://openlibrary.org/works/OL3285486W/Introduction_to_linear_algebra)
+)
+His lectures are also [available online](http://web.mit.edu/18.06/www/)
+ and are strongly recommended. See [http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/]
+
+
+"Mathematical Tools for Applied Mulitvariate Analysis" by J.Douglass
+Carroll.
+([amazon](http://www.amazon.com/Mathematical-Tools-Applied-Multivariate-Analysis/dp/0121609553/ref=sr_1_1?ie=UTF8&qid=1299602805&sr=8-1)
+)
+
+
+
+[Stanford Machine Learning online courseware](http://www.stanford.edu/class/cs229/)
+(cs229.stanford.edu):
+
+"It's a very nicely taught course with super helpful lecture notes - and
+you can get all the videos in youtube or [iTunesU](http://itunes.apple.com/itunes-u/machine-learning/id384233048)
+"
+
+"The [section notes](http://www.stanford.edu/class/cs229/materials.html)
+ for this course will give you enough review material on linear algebra and
+probability theory to get you going."
+
+[MIT Machine Learning online courseware](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/)
+ (6.867) has [Lecture notes in PDF|http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/lecture-notes/]
+ online.
+
+As a pre-requisite to probability and statistics, you'll need [basic calculus](http://en.wikipedia.org/wiki/Calculus)
+.  A maths for scientists text might be useful here such as 'Mathematics
+for Engineers and Scientists', Alan Jeffrey, Chapman & Hall/CRC.
+([openlibrary](http://openlibrary.org/books/OL3305993M/Mathematics_for_engineers_and_scientists)
+)
+
+
+One of the best writers in the probability/statistics world is Sheldon
+Ross.  Try
+''A First Course in Probability (8th Edition), Pearson'' ([amazon](http://www.pearsonhighered.com/educator/product/First-Course-in-Probability-A/9780136033134.page)
+) and then move on to his ''Introduction to Probability Models (9th
+Edition), Academic
+Press.''([amazon|http://www.amazon.com/Introduction-Probability-Models-Sixth-Sheldon/dp/0125984707])
+
+
+Some good introductory alternatives here are:
+
+[Kahn Academy](http://www.khanacademy.org/)
+ -- videos on stats, probability, linear algebra
+
+Probability and Statistics (7th Edition), Jay L. Devore, Chapman.
+([amazon](http://www.amazon.com/Probability-Statistics-Engineering-Sciences-InfoTrac/dp/0534399339)
+)
+
+Probability and Statistical Inference (7th Edition), Hogg and Tanis,
+Pearson.
+([amazon](http://www.amazon.com/Probability-Statistical-Inference-Robert-Hogg/dp/0132546086)
+)
+
+Once you have a grasp of the basics then there are a slew of great texts
+that you might consult:  for example,
+
+Statistical Inference,	Casell and Berger, Duxbury/Thomson Learning.
+([amazon](http://www.amazon.com/Statistical-Inference-George-Casella/dp/0534243126)
+)
+
+Most statistics books will have some sort of introduction to Bayesian
+methods, consider a specialist text, e.g.:
+
+Introduction to Bayesian Statistics (2nd Edition), William H. Bolstad,
+Wiley.
+([amazon](http://www.amazon.com/Introduction-Bayesian-Statistics-William-Bolstad/dp/0471270202)
+)
+
+Then for the computational side of Bayesian (predominantly Markov chain
+Monte Carlo), e.g.
+Bolstad's Understanding Computational Bayesian Statistics, Wiley.
+([amazon](http://www.amazon.com/Understanding-Computational-Bayesian-Statistics-Wiley/dp/0470046090)
+)
+
+Then you might try [Bayesian Data Analysis, Gelman et al., Chapman &Hall/CRC](http://www.stat.columbia.edu/~gelman/book/)
+
+On top of the books, [R](http://en.wikipedia.org/wiki/R_(programming_language))
+ \- is an indispensable software tool for visualizing distributions and
+doing calculations
+
+
+
+(another viewpoint)
+
+For statistics related to machine learning, I would avoid normal
+statistical texts and go with these instead
+
+[Pattern Recognition and Machine Learning by Chris Bishop](http://research.microsoft.com/en-us/um/people/cmbishop/PRML/index.htm)
+
+[Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/)
+ by Trevor Hastie, Robert Tibshirani, Jerome Friedman 
+
+Also [http://research.microsoft.com/en-us/um/people/cmbishop/PRML/index.htm](http://research.microsoft.com/en-us/um/people/cmbishop/PRML/index.htm)
+ 
+matrix computations/decomposition/factorization etc.?
+
+[How's this one?](http://www.amazon.com/gp/product/0801854148/ref=s9_simh_gw_p14_d0_i1?pf_rd_m=ATVPDKIKX0DER&pf_rd_s=center-3&pf_rd_r=0ESQ3KDY8MJ1AWWG8PFR&pf_rd_t=101&pf_rd_p=470938811&pf_rd_i=507846)
+any idea? any other suggestion?
+
+I found the one by Peter V. O'Neil "Introduction to Linear Algebra", to be
+a great book for beginners
+(with some knowledge in calculus). It is not comprehensive, but, I believe,
+it will be a good place to start and the author starts by explaining the
+concepts with regards to vector spaces which I found to be a more natural
+way of explaining.[http://www.amazon.com/Introduction-Linear-Algebra-Theory-Applications/dp/053400606X](http://www.amazon.com/Introduction-Linear-Algebra-Theory-Applications/dp/053400606X)
+
+David S. Watkins "Fundamentals of Matrix Computations (Pure and Applied
+Mathematics: A Wiley Series of Texts, Monographs and Tracts)"
+[http://www.amazon.com/Fundamentals-Matrix-Computations-Applied-Mathematics/dp/0470528338/](http://www.amazon.com/Fundamentals-Matrix-Computations-Applied-Mathematics/dp/0470528338/)
+
+
+
+The Gollub / Van Loan text you mention is the classic text for numerical
+linear algebra.  Can't go wrong with it.  However, I'd also suggest you
+look
+at Nick Trefethen's "Numerical Linear Algebra".  It's a bit more
+approachable for practitioners -- GVL is better suited for researchers.
+[http://people.maths.ox.ac.uk/trefethen/books.html](http://people.maths.ox.ac.uk/trefethen/books.html)
+[http://people.maths.ox.ac.uk/trefethen/text.html](http://people.maths.ox.ac.uk/trefethen/text.html)
+ (with some online lecture notes)
+
+
+I think this is the most relevant book for matrix math on distributed
+systems:
+
+[http://www.amazon.com/Numerical-Linear-Algebra-Lloyd-Trefethen/dp/0898713617](http://www.amazon.com/Numerical-Linear-Algebra-Lloyd-Trefethen/dp/0898713617)
+Many chapters on SVD, there are even chapters on Lanczos
+
+
+BTW what about R? There is literally tons of books in R series devoted
+to rather isolated problems but what would be a good crush course
+book?
+
+
+Ted Dunning:
+
+"I have found that learning about R is a difficult thing.  The best
+introduction I have seen is, paradoxically, not really a book about R and
+assumes a statistical mind-set that I disagree with.  That introduction is
+in MASS [http://www.stats.ox.ac.uk/pub/MASS4/](http://www.stats.ox.ac.uk/pub/MASS4/)
+.  Other references also
+exist:
+
+[http://www.r-tutor.com/r-introduction](http://www.r-tutor.com/r-introduction)
+[http://cran.r-project.org/doc/manuals/R-intro.pdf](http://cran.r-project.org/doc/manuals/R-intro.pdf)
+[http://faculty.washington.edu/tlumley/Rcourse/](http://faculty.washington.edu/tlumley/Rcourse/)
+
+In addition, you should see how to plot data well:
+
+[http://www.statmethods.net/advgraphs/trellis.html](http://www.statmethods.net/advgraphs/trellis.html)
+[http://had.co.nz/ggplot2/](http://had.co.nz/ggplot2/)
+
+Generally, I learn more about R by watching people and reading code than by
+reading books.	There are many small tricks like how to format data
+optimally, how to restructure data.frames, common ways to plot data, which
+libraries do what and so on that an introductory book cannot convey general
+principles that will see you through to success."
+
+For Javascript/Web plotting: [http://www.1stwebdesigner.com/css/top-jquery-chart-libraries-interactive-charts/](http://www.1stwebdesigner.com/css/top-jquery-chart-libraries-interactive-charts/)

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+Title: Who We Are
+<a name="WhoWeAre-Whoweare"></a>
+# Who we are
+
+Apache Mahout is maintained by a team of volunteer developers.
+
+<a name="WhoWeAre-CoreCommitters"></a>
+## Core Committers
+
+Name | Mail | Webpage | PMC | Comment 
+----|---------|------|------|----------
+Grant Ingersoll | gsingers@... | <a href="http://lucidworks.com">LucidWorks | Yes (Chair) | Twitter: @gsingers
+Isabel Drost-Fromm | isabel@... | <a href="http://drost-fromm.de">Homepage</a>, <a href="http://blog.drost-fromm.de">Blog</a> | Yes | Passion for free software (development, but to some extend also the political and economic implications), interested in agile development and project management, lives in Germany. Follow me on Twitter @MaineC
+Ted Dunning | tdunning@... |  <a href="http://www.mapr.com">MapR Technologies</a> | Yes | 
+Jeff Eastman | jeastman@... | <a href="http://www.windwardsolutions.com/">WindwardSolutions</a> | No (Emeritus) |
+Drew Farris | drew@... | | Yes | |
+Sean Owen | srowen@... | <a href="http://myrrix.com">Myrrix</a> | No (Emeritus) |
+Dmitriy Lyubimov | dlyubimov@... | <a href="http://www.linkedin.com/in/dlyubimov">LinkedIn profile</a> | Yes | Twitter: @dlieuOfTwit
+Paritosh Ranjan | pranjan@... | <a href="http://in.linkedin.com/in/paritoshranjan">LinkedIn profile</a> | Yes | Twitter: @paritoshranjan
+Suneel Marthi | smarthi@... | <a href="http://www.verisigninc.com">VeriSign Inc.</a> | Yes | Twitter: @suneelmarthi
+Stevo Slavić|  sslavic@... | <a href="https://www.linkedin.com/in/sslavic">LinkedIn Profile</a> | No | Twitter: @sslavic
+Gokhan Capan | gcapan@... | <a href="http://www.dilisim.com">Dilisim</a> | No | <a href="http://www.linkedin.com/in/gokhancapan">LinkedIn Profile</a>
+Ellen Friedman | ellenf@... | | No | Twitter: @Ellen_Friedman 
+
+
+<a name="WhoWeAre-EmeritusCommitters"></a>
+## Emeritus Committers
+
+* Niranjan Balasubramanian (nbalasub@...)
+* Otis Gospodnetic (otis@...)
+* David Hall (dlwh@...)
+* Erik Hatcher (ehatcher@...)
+* Ozgur Yilmazel (oyilmazel@...)
+* Dawid Weiss (dweiss@...)
+* Karl Wettin (kalle@...)
+* AbdelHakim Deneche (adeneche@...)
+
+Note that the email addresses above end with @apache.org.
+
+<a name="WhoWeAre-Contributors"></a>
+## Contributors
+
+Apache Mahout contributors and their contributions to individual issues can be found at Apache <a href="http://issues.apache.org/jira/browse/MAHOUT">JIRA</a>.

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==============================================================================
--- mahout/site/mahout_cms/content/images/Mahout-logo-transparent.svg (added)
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Added: mahout/site/mahout_cms/content/images/download-original.png
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/content/images/download-original.png?rev=1538467&view=auto
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Added: mahout/site/mahout_cms/content/images/download.png
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/content/images/download.png?rev=1538467&view=auto
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