Vladimir described how their project is organized, ML approach they used and issues they are facing, what their business goal is, what kind of features do they use, how quality is measured, and model is monitored. In addition to that, he covered some of the other recommender system use-cases they have in the company.
Vladimir talked as part of Data Science in Production track during the Open day, on November 14th at Data Science Conference Europe 2022 in-person in Belgrade.
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