#1: Practical Recommender Systems with Kim Falk
Recsperts - Recommender Systems Experts
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Introduction
Kim fak is a datar scientist and our first expert in this show. He has been the industry chair for the recommender systems conference. And actually he also wrote a book on practical recommender systems. We would like to find similarity between content. So what makes two songs similar, or what makese two books similar? Another way of looking at it is that if you don't know anything about your consent, but you have some knowledge about who has listened to what or who has consumed what consent, then you can actually go in and say, items are similar based on who likes that item.
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