- General
- Developers
- Mahout-Samsara
- Algorithms
- List of algorithms
- Distributed Matrix Decomposition
- Cholesky QR
- SSVD
- Distributed ALS
- SPCA
- Recommendations
- Recommender Overview
- Intro to cooccurrence-based
recommendations with Spark - Classification
- Spark Naive Bayes
- MapReduce Basics
- List of algorithms
- Overview
- Working with text
- Creating vectors from text
- Collocations
- Dimensionality reduction
- Singular Value Decomposition
- Stochastic SVD
- Topic Models
- Latent Dirichlet Allocation
- Mahout MapReduce
- Classification
- Naive Bayes
- Hidden Markov Models
- Logistic Regression (Single Machine)
- Random Forest
- Classification Examples
- Breiman example
- 20 newsgroups example
- SGD classifier bank marketing
- Wikipedia XML parser and classifier
- Clustering
- k-Means
- Canopy
- Fuzzy k-Means
- Streaming KMeans
- Spectral Clustering
- Clustering Commandline usage
- Options for k-Means
- Options for Canopy
- Options for Fuzzy k-Means
- Clustering Examples
- Synthetic data
- Cluster Post processing
- Cluster Dumper tool
- Cluster visualisation
- Recommendations
- First Timer FAQ
- A user-based recommender
in 5 minutes - Matrix factorization-based
recommenders - Overview
- Intro to item-based recommendations
with Hadoop - Intro to ALS recommendations
with Hadoop
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Are you using Mahout to do Machine Learning? Care to share? Developers of the project always are happy to learn about new happy users with interesting use cases.
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.
- Accenture uses Mahout as typical example for their Hadoop Deployment Comparison Study
- AOL use Mahout for shopping recommendations. See slide deck
- Booz Allen Hamilton uses Mahout’s clustering algorithms. See slide deck
- 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 uses 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.
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 - also see Hadoop World slides .
- 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
- Predixion Software uses Mahout’s algorithms to build predictive models on big data
- <img src=”http://www.radoop.eu/wp-content/uploads/favicon.png” width=15> 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
- Yahoo! Mail uses Mahout’s Frequent Pattern Set Mining. See slides
- 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
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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.
- Mahout is used in the NoTube EU project.
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