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How did you meet each other? Most couples will answer “on a dating application.” This practice, which aroused a certain reluctance a few years ago, has now become commonplace.
Dating apps keep evolving each new day. They constantly exploit Big Data algorithms and advances in artificial intelligence. But how does AI make them grow?
More Scalable Apps Thanks to AI
Dating apps first saw the light of day in the 1990s, at a time when the challenges of IT, Big Data, and AI were taking off. And if at the beginning, they interested only a small part of users, today, it is a real godsend for meeting people and even finding love.
For more than 30 years, these applications have relied on AI, just like the sales sites during Black Friday. This allows them to offer users more scalable and more secure media. They essentially analyze the level of compatibility between the different profiles existing on the platform. Thanks to Big Data, they collect millions of information and analyze them in a concise period. Depending on your interests, your passions, your expectations, or even your location, the application will offer you the profiles that could be the most likely to interest you.
How Are Dating Apps Using AI?
Dating applications exploit AI in several ways using different kinds of computer algorithms and programming languages. Some applications are content with data analysis using Big Data, while others work on a more complex aspect closely related to artificial intelligence.
Algorithms to Strengthen User Security
At first, most modern applications use AI to increase the level of security on the platform. Indeed, some people are still reluctant to register on a dating app for security reasons. Apps like Tinder use specific algorithms to solve this significant problem. In concrete terms, they compare the different photos posted on your account before validating your identity. This action makes it possible in particular to block “fake” accounts and malicious people.
Machine Learning Behavior
Futuristic dating apps rely on continuous machine learning of individual user behaviors. They are mainly based on Machine Learning and Deep Learning to obtain more precise and accurate answers on the behavioral history of each person registered. Afterward, how well your profile is compatible with other profiles will depend on how you define yourself and how you are. The dating application is no longer satisfied with your descriptions and your wishes to offer you new relationships: it takes into account your real feelings by analyzing your reactions, your actions, and actions.
Optimize Discussions to Get More Appointments
How many people actually get a date by signing up on a dating app? And how many of them will find a soul mate? Although we do not have exact figures, we still see more exchanges via the applications than real meetings.
Artificial intelligence will revolutionize this situation by further optimizing discussions. Some Data Scientists and Data Analysts are currently implementing solutions to automate certain parts of the discussions.
Soon, you will no longer have to repeat the same sentences dozens or even hundreds of times to get a date. The application will start an open discussion like the intuitive chatbot system to help you get more positive responses!
Towards a More Intuitive Evolution of Dating Apps
Dating apps are racing to bring the best features to users. They are all based on advances in Big Data and AI. Some of them have already stood out from the competition with their revolutionary and more intuitive projects. Perfect examples of datings apps that rely on AI include:
Loveflutter
Loveflutter is a UK dating app. It analyzes discussions between two users to determine their level of accounting quickly. If it thinks they have a lot in common, it helps them organize a first date quickly. Thanks to a close collaboration with Foursquare, an app for finding nearby bars and restaurants, Loveflutter can suggest interesting meeting places that are suited to the location of people wishing to meet.
AIMM
While most dating apps today still rely on written data analysis, some apps like AIMM focus more on voice control. Currently being tested in the United States, in the State of Colorado, it records your preferences by voice command. It then suggests potentially compatible candidates from the recorded data, then helps you set up an appointment.
AI in dating apps is the Best Option to help you finds your partner for the perfect date.
The flood of potential new partners in the apps is enormous. Finding the right one among millions of singles is almost like looking for a needle in a haystack. And there comes AI.
Artificial Intelligence refers to the simulation of human intelligence in machines. Computers are programmed to have properties that are compatible with cognitive intelligence in the game. Artificial intelligence plays Armor by determining how well their mates in terms of your interests.
In addition, it evaluates your “wiping behavior,” i.e., which new people you have given a like and which you have given a dislike. A match for a first date is then proposed based on this knowledge. According to the developers, the probability that you will like the date is eight times higher than with a randomly matched partner. Conversely, this means that you would have to go on dates eight times less and thus have more time for a suitable date.
AI also takes care of your meeting point. If there is a face-to-face meeting via text message after flirting, the AI will also help you with this. With the help of Foursquare and your location, it suggests a restaurant right in the middle of both of you. Isn’t that convenient? The drawing of matches around the date location is history.
Conclusion
People have different characters, which can significantly determine the success or failure of a relationship. Since we know that machine learning is good at classification, matching can be viewed as a classification problem. Because how well two people fit together depends on measurable characteristics. So that these attributes can be measured based on the information, the user must make this information available in his profile.
Of course, many of these attributes are abstract, but machine learning could be used to learn how each attribute affects the match. That’s how artificial intelligence is vital in dating apps.
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