#1: Practical Recommender Systems with Kim Falk
Recsperts - Recommender Systems Experts
00:00
How to Calculate the Pearson Correlation Coefficient
The pearson correlation coefficient is based on a matrix of user ratings. Since these matrices are typically very sparse, so we like to fill them. But the way, they are very few entries filled, and that we maybe need to solve that problem. The most interesting thing about it was that they didn't actually implement a winning algoram because it was too complicated. They kick stotit a whole industry, not an industry, but a whole field of research by doing it.
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