Testing How Dating Apps Recommend a Potential Matches for User

In this age of globalization, the internet has gradually entered every aspect of our daily life even in our love lives. Dating has already entered the digital realm where people around the world could find the person of their type by swiping through multiple people on an application or even a website. Dating apps even have the feature of providing several recommendations based on the user's type. When a user created an account, they would be given several questions related to their type of people they want to date to know which type of person to recommend but sometimes, the application itself would recommend a user, a person that does not meet the initial requirements of the user itself. The goal of this research is to find the accuracy of the recommendation algorithm from the dating apps with the tag or interests that the user set with the recommended match and the fluctuation of the accuracy to conclude the most accurate matching based on aligned interest.