Using big data to match compatible people and form great friendships
Image credit: TikTok
Darko SavicFeb 18, 2022
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Bounty for the best solution
Provide a bounty for the best solution
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Deep learning algorithm tasked with creating great friendships. Make good use of the data that big tech companies collect on everyone. Match people based on their likelihood of becoming best friends and try to make it happen.
Big tech companies already have and continue gathering personal data on everyone. They might as well use it for good rather than exploiting people for marketing and surveillance.
Improve people's wellbeing by introducing great friends into their lives.
Reduce loneliness in the general population.
Help people make friends.
How it works
Any of the tech giants (fb, google, apple) has a ton of data on its users. They know people's interests, passions, preferences, habits, where they hang out, who their friends are, who they are in touch with the most, and so on.
Based on all this data a deep learning algorithm could be designed that attempts to find people new friends they would get along with well.
This algorithm would be marketed as an experiment that people voluntarily enroll in and provide feedback so that the algorithm can learn/improve.
You would get a message along the lines of "Our experimental friend finder algorithm has found 3 people within 10 kilometers from your location that you would likely get along with well. Would you like to join the experiment and help finetune our algorithm?" If yes, you would get all the details.
The platform will then contact the people who are most compatible with you. Once they agree, the platform puts you in touch and suggests you get together for some fun activity you both enjoy.