By Dalí Veliz
Marketing4eCommerce Editor
LThe way social media shows us different types of content remains a mystery to many people, who even think that these platforms can read their minds. However, beyond psychic powers, these predictions and recommendations are based on our tastes and the type of content we regularly see. Earlier this year, Facebook took a step forward in this regard and offered a glimpse into how its predictive AI works.
Now, it is Google that has decided to shed some light on the mystery of video recommendations on YouTube.
What is YouTube's recommendation system?
Recommendations are nothing more than the different belarus business email database videos that we find on the home page when we enter the platform, or the videos that appear in the "Up Next" panel when we are watching a video. In other words, they are the videos that YouTube shows to help users find interesting content without having to search for it.
Today, content recommendations are based primarily on users' tastes and viewing history, but this has not always been the case. In fact, YouTube's recommendation system has undergone a long evolution since its implementation in 2008, when it was based simply on the popularity of videos . Thus, if cooking videos were the most viewed at that time, they would appear directly on the users' home page even if they had not shown interest in this type of content.