SEO White Papers for YouTube Ranking & Suggested Videos

How to Get More YouTube Views Secrets Of Ranking YouTube Videos
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Transcript

Hey everybody, Professor Paul here, and welcome to this section, this bonus video on how to get suggested views. We love to give extra bonus videos, we want to give you the most information possible. We always love to do the extra for you. So here's a great, great bonus for you. I've got two of them, we're actually going to be looking at how to get the recommended videos. And don't take it for me.

This is from Google Incorporated. So these are all the big shots at Google Inc. Google owns YouTube. So Google is the number one search engine in the country. YouTube is the number two. And when it comes to video, obviously YouTube is the number one. So in this abstract, they're going to show you how to get into the recommendation system.

When you're looking at a YouTube page down the side, it'll say, hey, try these other videos. They're basically based on this recommendation system. So Here's all the ways to get in there. So for the people that want to drill down, I've already given some recommendations on this. But if you really want to drill down into the details, we're giving you this bonus. So you can look at exactly how they calculate it, how they generate the recommendation candidates who's actually going to get it.

Some of the ranking factors, this is a key area, you're going to want to look at 2.4. So we've got all this information for you here and the overall recommendations. Next, here is basically the deep neural networks for YouTube recommendations. So this is kind of the SEO page of how you get to the top of the search engine rankings for YouTube. So it's going to give you an introduction it's going to talk about all their all their various recommendations. For how to get to the top, it shows you kind of an overview of how their system works.

Basically, they use an AI, which is artificial intelligence, it goes through based on multiple factors and even fuzzy logic, which is kind of if this, then that, if that makes sense. So kind of a decision making tree looks at how they generate candidates overall model. Here again, is kind of another graphic breakdown of how they do it, it's a little bit complicated, but what I would do is just pull out the features like the ranking. So just look at that section. If this makes sense to you go ahead if not, just kind of ignore it and look at the ranking features and the conclusions. So for those of you like that really like to drill down, really like to get from the horse's mouth the exact information.

This is a great white paper that a lot of people don't look at, but a bone For you, just for being part of this training. My name is Professor Paul, thanks so much for listening, and I'll see you in my next video and in my next training

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