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I can’t predict how this particular market will clear, but this doesn’t necessarily have to be a big problem here.Luna’s last major promise is to use cutting-edge machine-learning techniques to come up with a good match algorithm: Despite significant technological advances in information processing, storage, and retrieval, online dating has yet to optimally integrate machine learning for the user’s benefit.A typical ML task for online dating might be to predict the level of compatibility between two users from a given set of input data, thus predicting for example whether one user is likely to respond to another user’s message […] Luna may adopt a collaborative filtering algorithm developed by Dr. In addition, Luna may use advanced NLP techniques in conjunction with IBM Watson to integrate additional information from the contents of messages sent in-app, as well as from social media sources such as Twitter, if users choose to provide that information.So let’s look through the white paper and see what they’ve got.
Most dating sites suffer from attention imbalance: men scrounge around for anyone willing to acknowledge their existence; women get inundated with countless desperate messages they don’t want.
Tipping a platform is an infeasible idea in the context of currently existing dating apps; however, the free and direct-to-user benefits of Luna may register to users as something more resembling the mechanisms of Wikipedia: a free, friendly, and user-contributed service, rather than a platform like Match.com, which can feel exploitative.
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