In this session, Sophie Watson will look at the pain points of recommendation algorithms and cover ways to overcome them in practise. She will dive into the example of data drift in recommendation using data from a music streaming service. She’ll talk about why users’ tastes might change, how to identify when tastes have changed, show how to find content which will delight users without reopening old wounds, and give some simple suggestions for how to incorporate these findings into off-the-shelf recommenders to give a more robust user experience. #BIGTH19 #BigData #Analytics
Session presented at Big Things Conference 2019 by Sophie Watson, Software Engineer at Red Hat.
20th November 2019
Kinépolis, Madrid
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