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Deploying a massively scalable recommender system with Apache Mahout
Introduction The purpose of this post is to explain how to use Apache Mahout to deploy a massively scalable, high throughput recommender system for a certain class of usecases. I’ll describe the shape...
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RowSimilarityJob on Steroids
I’m currently working on improving RowSimilarityJob, one of my first contributions to Mahout. It’s a Map/Reduce job to compute the pairwise similarities between the row vectors of a sparse matrix....
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Apache Mahout in research
I’m currently in Koblenz at the yearly review meeting for the ROBUST research project I’m involved in. The project deals with analyzing large scale business communities and is a perfect fit for...
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A recommendation webservice in 10 minutes
This post will give a preview to a simple to use, configurable webservice for the recommenders of Apache Mahout, which I developed in cooperation with the Berlin-based company Plista. The project’s...
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