Machine Learning Building your first recommender


You see all these websites with recommendations for things to buy or watch. During this talk Jettro walks you through all the steps to create yourself a recommender. Getting data for your recommendations from user events. Handling and enriching these user events before storing them ready to be used by the recommender. Creating a recommendation using concepts like (non) personalised recommendations, cold users, cold products and similarity algorithms L1/L2-Norm, Cosine, Pearson, k-means clustering. After this presentation you know what you need to do to get recommendations on your website. 

Jettro Coenradie

Fellow - Luminis

Software Developer / Architect with a lot of hands on experience in Java, AngularJS, Elasticsearch and lots of others tools. He has a great experience with importing and transforming data as well as presenting and visualising the data.


Codemotion is the biggest tech conference for software developers in EMEA. 

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