Online dating is one of the largest digital industries, yet the online user experience remains incomparable to in-person experiences. From spam to explicit messages, fake accounts to the misuse of data; the world of swiping right can be scary. On top of that, one of the most significant issues lies in the technology: matching. Though it seems odd to think about an algorithm dictating our romantic fate, a strong one could make the difference. If the dating pool is feeling extra shallow lately, online dating solved with blockchain could be our best chance at love.
According to their whitepaper “Luna employees use a queueing system built upon distributed ledger technology and includes novel features to maximize user trust.” Luna has attempted to solve an oversaturation of advertising, bad behavior by users, and poor matching capabilities.
Ads aren’t fun for anyone other than the profiter. Furthermore, they can be actively taking away from the purpose of your visit to the site: to find a date. When an interaction with a website begins with their interests in mind over the user’s, it can be immediately discouraging. Algorithms seem to have selling intentions at the forefront rather than the user’s intentions. Machine learning could change this.
How can we adapt machine learning to reproduce relationships and happiness? Luna believes that the answer starts with blockchain by giving the data back to the user.
This tokenized economy of online dating can help with attention. A crucial part of dating, online and off. With this, the central principle is founded upon how a message is received and how it gets to the top of your inbox and modifiers are used for A/B testing. When this cadence is established then “economic incentive mechanisms can be designed to help people better target their search.”
Step by step, here’s how Luna is changing the online dating game:
Machine learning data matching is measured in two ways:
Next, Luna creates a cycle between their token ecosystem and their machine learning model. This model helps the token system work better. It creates the price of the messages based on the above criteria, the reciprocation, and feedback which goes back into the ML system to provide more data to help the ML data create more matches. By assigning a higher probability for compatibility, Luna is an endless cycle.
Users rely on “stars” (the QRC-20 tokens) for in-app transactions. Users can purchase exchange, or earn stars on the app. By restricting the number of stars and rewarding users for verifying in-person meetups, they believe they can grow an entire cryptocurrency dating ecosystem.
One can use stars to start new conversations or move messages up in the queue. You can earn stars by reading or responding to messages quickly. All adding to the gamification of dating and reward earing.
Furthermore, they also utilize near-field communication (NFC) by pulling up the app and physically touching it to the potential partners to verify in person ID verifications. In addition, users frequently fill out polls which feed directly back into their the machine learning algorithms.
All of the match transactions and gathering of feedback is decentralized. But the storage and processing of user data are centralized with the intent of security and optimization.
Moreover, the ability to scale Luna is a key feature of the consensus network platform. With QTUM, scalability and incorporating “PoS consensus, higher transactions per second (TPS) than e.g. Ethereum, Bitcoin-style UTXO, and lower transaction fees than comparable platforms” are top of mind. With the QTUM scaling solution, it could be possible to use a private network on blockchain.
All’s well that ends well. So, Luna seems to be a good end to the previous online dating woes. With blockchain comes to trust, decentralization, and scalability which all seem to be answers to our current online dating issues. As such, we can expect more relationship applications on the horizon to help with online dating problems solved by blockchain.
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