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Comment: Added link to Linked.In slides detailing their use of Apache Mahout.

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Intro
Commercial Use
Academic Use
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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.

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
Accenture uses Mahout as typical example for their Hadoop Deployment Comparison Study
Amazon's Personalization Platform – See http://www.linkedin.com/groups/Apache-Mahout-2182513
AOL use Mahout for shopping recommendations. See http://www.slideshare.net/kryton/the-data-layer
Booz Allen Hamilton uses Mahout's clustering algorithms. See http://www.slideshare.net/ydn/3-biometric-hadoopsummit2010
Buzzlogic uses Mahout's clustering algorithms to improve ad targeting
Cull.tv uses modified Mahout algorithms for content recommendations
DataMine Lab uses Mahout's recommendation and clustering algorithms to improve our clients' ad targeting.
Drupal users Mahout to provide open source content recommendation solutions.
Evolv uses Mahout for its Workforce Predictive Analytics platform.
Foursquare uses Mahout for its recommendation engine .
Idealo uses Mahout's recommendation engine.
InfoGlutton uses Mahout's clustering and classification for various consulting projects.
Intel ships Mahout as part of their Distribution for Apache Hadoop Software.
Intela 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 where we talk about it.
iOffer uses Mahout's Frequent Pattern Mining and Collaborative Filtering to recommend items to users.
Kauli, one of Japanese Adnetwork, uses Mahout's clustering to handle clickstream data for predicting audience's interests and intents.
Linked.In Historically, we have used R for model training. We have recently started experimenting with Mahout for model training and are excited about it.
LucidWorks Big Data uses Mahout for clustering, duplicate document detection, phrase extraction and classification.
Mendeley uses Mahout to power Mendeley Suggest, a research article recommendation service.
Mippin uses Mahout's collaborative filtering engine to recommend news feeds
Mobage uses Mahout in their analysis pipeline
Myrrix is a recommender system product built on Mahout.
NewsCred uses Mahout to generate clusters of news articles and to surface the important stories of the day
Next Glass uses Mahout http://nextglass.co/who-we-are.html#who-3
Predixion Software uses Mahout’s algorithms to build predictive models on big data
Radoop provides a drag-n-drop interface for big data analytics, including Mahout clustering and classification algorithms
ResearchGate, the professional network for scientists and researchers, uses Mahout's recommendation algorithms.
Sematext uses Mahout for its Recommendation Engine
SpeedDate.com uses Mahout's collaborative filtering engine to recommend member profiles
Twitter uses Mahout's LDA implementation for user interest modeling, and maintains a (periodically sync'ed with Apache trunk) fork of Mahout on GitHub
Yahoo! Mail uses Mahout's Frequent Pattern Set Mining. See http://www.slideshare.net/hadoopusergroup/mail-antispam
365Media uses Mahout's Classification and Collaborative Filtering algorithms in its Real-time system named UPTIME and 365Media/Social

Academic Use

Dicode project uses Mahout's clustering and classification algorithms on top of HBase.
The course Large Scale Data Analysis and Data Mining at TU Berlin 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.
The ROBUST project, 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, 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 NUI Galway 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/) 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.

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