Among the many different activities, jobs, interests, and pursuits that have been impacted by the Internet, the dating world has to be at the top of the list. The result of social media on people’s capability of meeting one another should be apparent, but dating apps have taken this connectivity a step further.
Today, we’ve seen hundreds of pop-up dating platforms to accompany the most well-known, which can create more than a ‘good problem to have’ with the amount of available choices. Male users must be as discerning as the female users in terms of where to place their information and which app is going to give the best return on their time investment.
This article details some of the most cutting-edge measures applications are using to help men meet their matches using artificial intelligence (AI). We’ll provide some real-world examples of how the most popular applications employ AI for matchmaking with male users, as well as some that might be considered obscure or experimental.
AI for Matchmaking: Real-World Examples
The following are a few real-world examples of how AI is being used to help men find dates on matchmaking apps. Of course, the proprietary specifics like algorithms are kept under guard, but these can always serve as a template for your own endeavors. In fact, you can visit our [page about outsourcing] page to find out more about creating your own dating app, or perhaps a different type of tool that uses similar techniques.
Bumble
World-famous dating app Bumble is using its considerable resources to help men sift through “catfishing” attempts by other users with their Deception Detector. For those unaware, catfishing is when a person creates a fake profile to lure in others under false pretenses, often for nothing more than a laugh. Sometimes it’s a harmless prank, but some users will take it far enough to cause serious distress to victims who thought they had found the one.
Along with their traditional identification verification measures, Deception Defender uses AI to identify and block spam accounts. And while Bumble is focused on empowering females, safety improvements widen the field of willing participants, eliminate false competition, and make it easier for legitimate suitors to break the ice.
Tinder
Tinder’s casual dating approach uses AI to correlate geolocational and personal data to match men with the best potential romantic partners in any given area. According to their official site, Tinder uses AI to provide profile suggestions for users based on several different factors.
For men seeking companionship who are unsure which details to share about themselves, this is more than just a time-saver; it’s a way to alleviate the stress of first sign-up and encourage some who may not have even taken the step because of the profile creation process. Tinder’s AI gathers information from initial signup about the user’s Relationship Goals–a profile attribute that encompasses several desired characteristics–and suggests specific information from the user’s bio to highlight.
eHarmony’s Deep Learning
One of the original dating sites to incorporate AI, it’s no surprise that eHarmony is among the most trusted names in dating platforms. Modern sensibilities have caused eHarmony to up their use of machine learning to sift through their millions of users and help them find matches.
eHarmony’s machine learning tools use AI to correlate personal data across 20 different affinity models, a collective word for users gathered from user behavior and preferences used to make matches. The company separates itself from the countless similar startups with the amount of resources they can use for development, which becomes evident in how deeply its AI dives to find demographical and personal information on its users.
For men, this includes profile suggestions based on their preferences in real-time, and a varied offering of recommendation types that take advantage of specific times. This includes ‘serendipitous’ calculations that use algorithms to pinpoint times when recipients will be most receptive, and ice-breakers based on matching interests.
Using Artificial Intelligence For Your Own Dating App
If you’re going beyond looking for romance or just wondering how to begin creating a dating application suitable for male users, artificial intelligence will certainly factor into its design. Based on the examples provided by the top providers, we can see the limits of their AI are often decided by their budgets.
Consider the following list for entry points into dating app AI, which can be used creatively to separate your product:
- Machine learning algorithms are used to find trends in large pools of information, which might include users across many time zones. Any developer who expects to grow should consider machine learning as part of scalability.
- Basic programs can match interests based on tags, but AI can form correlations with deeper insight. For example, an algorithm might assign weighted values to certain interests that align with convenience, such as an avid skier connecting with someone who lives in the mountains.
- Most social media applications use AI for profile suggestions, but dating apps generally take that further since impressions are everything. This usually manifests during profile creation, where tooltips and auto-fills help usher impatient users along toward lasting bliss.
Finding Help to Design a Dating App
Fortunately, it is much easier to get an idea from your head to the alpha phase in 2024 and beyond, especially with the amount of outsourcing available. This means that any of the perks described above can be brought into fruition from design to release by experts who create apps for a living.
For deeper general knowledge about artificial intelligence and its role in software development, consider our article on the subject. To find out more about outsourcing opportunities for your own dating application or add-on, simply follow any of the relevant tabs on our homepage.
