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Best dating app builder2/14/2023 ![]() ![]() ![]() This dating algorithm will work in the following sequence: Now that we have data to play around with, we can continue to the fun part - building the dating algorithm. Sign up for a Medium Membership here to gain unlimited access and support content like mine! With your support I earn a small portion of the membership fee. Other preferences can potentially be added later.Īnd that’s it! We can now move on to the coding aspect and feel free to code-along if you wish to create your own dating algorithm! Straight men and women will be the only users on this platform for now.The platform works similar to other popular dating apps with right and left swipes indicating likes between profiles.Similar to filling in questions on a dating profile. This established platform onboards users with a quick and simple questionnaire.Meaning users and user interactions already exist. This dating algorithm is working under an already established platform.But before I begin, I have to list several prerequisites and assumptions about this dating algorithm: I’ll walk you through how I created this dating algorithm using mainly Python and Pandas. This means the algorithm will find users just like you, aggregate the interactions of those like-minded users, then finally recommend profiles you may like based on the like-minded users’ opinions and interactions. The logic of this algorithm is simple - it will be based on the idea of the wisdom of the crowd. In this article, I won’t be strictly using machine learning but instead will opt for a simpler approach using Data Science tools and some recommendation system techniques. ![]() It was great exercise in using unsupervised machine learning and the resulting dating algorithm was not too bad! It was a great experience but I thought it could use some improvements. ![]()
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