As time went by, many wondered what the YouTube algorithm is. It has created a somewhat negative vision among the viewers, YouTubers, and advertisers of the platform. This is something that the company is aware of. Of course, it is vital to know how the current algorithm works. Currently, the algorithm's artificial intelligence focuses on a recommendation system built from videos that match user preferences. Just like in the old days. It includes special characteristics to later reorder the list based on the information stored in history. It also takes into account the clicks used, the likes given, and other interactions. Does storytelling in business really work?

They are all variables that, when placed in the algorithm formulas, form an inventory for future recommendations. Despite the sophistication, YouTube has had controversies worldwide for cases of invasion of privacy, A group of responsible researchers and engineers within the company recently published a study called: "Recommendations about which video to watch next: a multitasking classification system." We can also expect possible improvements to the YouTube algorithm. In this way, the company proposes a possible solution to the problems that plague the company, an update of the YouTube base algorithm. Maybe powerpoint training is the answer for you?

The latest update recommends even more specific content to users to achieve a more sophisticated level of detail in the recommendation process. While they intend to retain the same operating principle of the algorithm, they want to use every effort to avoid "implicit bias," a term they use and refers to the influence of recommendations on user behavior. Have you tried powerpoint course to boost customer engagement?

According to the study, the results reveal that implicit bias complicates the task of knowing if the user clicked on a video because it "looks recommendable" or because they liked it. Over time, it generates an effect that ends up distancing the viewer more and more from the videos that s/he wanted to see or would be useful to him/her. Would storytelling for business be a likely mechanism for your company?

To prevent this bias from continuing to negatively impact users, the engineers propose that the position of the video in the recommendation sidebar the viewer clicks be evaluated. Using this data as the primary source of information will make the other videos that were shown as the first option lose weight and relevance among the recommendations.