Personalization of data using machine learning

Abstract The algorithm presents work on the personalization of data in our digital everyday life based on content. While the algorithms that designed this content have tremendous power to influence the perceptions of users, they’re often concealed behind the GUI, leaving users unaware of their existence. The algorithm provides more personalized feed based on user’s recent history. Machine learning algorithm does not categorize the posts in a particular number of set or based on its parameters but it displays similar posts by analyzing the actual content in it. The algorithm takes an input as a post in which the user is interested and shown feed accordingly. This algorithm does not take the parameters attached to the post such as no. of likes, shares or the person posted, but the actual content itself. The Algorithm would be more helpful for increasing the user’s confidence and experience with the system.