Adobe
User targetingAdobe AMP used Mahout's clustering algorithms to increase video consumption through better user targeting.
Apache Mahout has powered recommendation, clustering, and classification systems at scale for more than a decade. Today the project builds Qumat, a Python library for writing quantum circuits once and running them on Qiskit, Cirq, or Amazon Braket, and QDP, a GPU-accelerated engine for encoding classical data into quantum states.
See how organizations, developers, and researchers have built with Mahout, and add your own story.
Add your organizationUse cases the community has shared.
Adobe AMP used Mahout's clustering algorithms to increase video consumption through better user targeting.
AOL used Mahout for shopping recommendations.
Booz Allen Hamilton used Mahout's clustering algorithms for large-scale biometric analysis.
The Drupal Recommender API module used Mahout to provide open source content recommendation for Drupal sites.
Foursquare used Mahout for its venue recommendation engine.
Intel shipped Mahout as part of its Distribution for Apache Hadoop Software.
LinkedIn experimented with Mahout for model training as an alternative to R-based workflows.

LucidWorks Big Data used Mahout for clustering, duplicate document detection, phrase extraction, and classification.

Mendeley used Mahout to power Mendeley Suggest, a research article recommendation service.

NewsCred used Mahout to cluster news articles and surface the important stories of the day.
ResearchGate, the professional network for scientists and researchers, used Mahout's recommendation algorithms.

Sematext used Mahout for its recommendation engine.
Twitter used Mahout's LDA implementation for user interest modeling.
Yahoo! Mail used Mahout's frequent pattern set mining in its anti-spam pipeline.
The Large Scale Data Analysis and Data Mining course at TU Berlin used Mahout to teach students how to parallelize data mining problems.
Carnegie Mellon University used Mahout as a comparison platform in GraphLab research.

Nagoya Institute of Technology used Mahout for research and data processing in a large-scale citizen participation platform funded by the Ministry of Interior of Japan.

Researchers at the Digital Enterprise Research Institute used Mahout for topic mining and modelling of large corpora.
Companies, projects, and research groups that have told the community they use or have used Apache Mahout.
Running Qumat in production, evaluating QDP, teaching a course, publishing research, or still on Mahout Classic? You are part of the story. Open a GitHub issue with the form below and a committer will add you to this page.
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Disclaimer. Usage information on this page comes from community submissions and publicly available sources such as blog posts, conference talks, and the previous Mahout website. Usage, deployment stage, and other details may change over time. All company names, product names, trademarks, and logos shown here are the property of their respective owners and are used for identification purposes only. Inclusion on this page does not imply endorsement of Apache Mahout by these organizations, nor endorsement of these organizations by the Apache Software Foundation. If you represent an organization listed here and would like your entry or logo updated or removed, please open an issue or email dev@mahout.apache.org.