A blog post about the first version of a recommender system at ivi in 2014 is still easy to be found at habr.ru. In this talk we decided to tell about how we walked a path from a single matrix multiplying script to a Hadoop Data Lake of our own, distributed Machine Learning with Spark, offline evaluation framework in Scala and, as a result, a recommender system highly tunable to business needs.
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