#1: Practical Recommender Systems with Kim Falk
Recsperts - Recommender Systems Experts
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Are There Any Metrics That Account for That Fat Fact?
Metrics like precision and recall that don't really focus on the position within the top k items the item appears. But there are metrics that account for that fat fact, such as mean reciprocal rank or n d c g. I agree with you, rating prediction is not something that we want to look much into, but ranking it is much more important. And then in production, you can then use a b s to see if the new qestion of calculem is better than the old one.
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