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Article | REF: H7245 V1

Recommender systems

Authors: Gérald KEMBELLEC, Max CHEVALIER, Damien DUDOGNON

Publication date: November 10, 2015

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4. Case study of a recommendation platform: Mahout

Mahout is a platform supported and developed by the Apache community. The aim of the Mahout project is to provide an environment for rapidly creating robust, high-performance learning algorithms. The platform integrates a large number of algorithms, including recommendation algorithms. To improve processing and facilitate scaling, the algorithms can take advantage of the Map/Reduce paradigm, for example.

The architecture of a recommendation application based on Mahout is built on four main layers (figure 11 ):

  • the application that will use the recommendation process;

  • the recommendation method...

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Case study of a recommendation platform: Mahout
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