You must have seen recommendations on YouTube when you play any of your choices. The streaming giant company published an overview that explains in detail how its Recommendation System works. The product manager for discovery at YouTube, Rachel Alves presented the overview in which she provided a detailed insight on the algorithms that the platform uses in order to provide its users with the recommendations.
According to the overview, the key purpose of recommending videos is to provide the users with a better experience and to keep them engaged with the platform. There are two different types of recommendations that you see on YouTube i.e., on the Home Page and Suggested listings. Alves reveals that the platform works on two different algorithms to provide these two recommendations.
The Home Page recommendations will show videos based on personalized actions of the user such as, watch history, search history, trending and location. Whereas, the “Suggested” videos show recommendations for videos that a user would like to watch next after the video that they are currently watching.
YouTube having nearly 2 billion active users monthly, the company constantly work on new improvements in order to provide the users with a better experience.
According to the overview, the key purpose of recommending videos is to provide the users with a better experience and to keep them engaged with the platform. There are two different types of recommendations that you see on YouTube i.e., on the Home Page and Suggested listings. Alves reveals that the platform works on two different algorithms to provide these two recommendations.
The Home Page recommendations will show videos based on personalized actions of the user such as, watch history, search history, trending and location. Whereas, the “Suggested” videos show recommendations for videos that a user would like to watch next after the video that they are currently watching.
YouTube having nearly 2 billion active users monthly, the company constantly work on new improvements in order to provide the users with a better experience.
