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By egregory
Published: Apr 04 2013 / 13:20

In order to set up Apache Mahout, a library written in Java to perform scalable machine learning algorithms based on Hadoop, in the architecture of Mario’s fabulous online shop for pizza, pasta and co (see blog post Building an Online-Recommendation Engine with MongoDB and Mahout) we’d like to know which recommendation strategy is the best for our so far fictional use case (which is computing recommendations for 32 products and 101 users in real time).
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