Tell me some of the things that it is looking at ,so obvious things like if someone presses like or stay on a video for a long time ,that give you a clue more like that . But is it subject matter ? what are the array of things you have notice , that you can actually track that provide useful clues .
I’m going to simplify this a lot ,but the machine learning the recommendation ,algorithm ,is really just a math .
So for example , if you like videos ,1.2.3.and 4 , and I like videos 1,2,3,and 5. Maybe he like videos 1,2,3,and 6, now what’s going to happen is ? Because we like 123 at same time ,he is going to be shown 456 , so are we .
And you can think about this repeat at scale in real time ,across more than a billion people ,that’s basically what it is ,it’s math , and of course you know ,AI and machine learning has allowed this to be done , at very very big scale , what we have seen the result of this ,is that they learned the interest signals that people exhibit very quickly and shows you content really relevant for you , in a very quick way .