How the Hinge Algorithm Works
key takeaways | the core | optimize | Summary
optimize interaction + engagement
Your success on Hinge is in the hands of the algorithm, so it’s essential to know what aspects to work with using RSO [recommender system optimization]:
Key takeaways
The Hinge algorithm is different from the Tinder algorithm:
Like ratio: As people like your profile, your visibility increases and you move up a tier. The top tier being “Hinge standouts”. There are 2 ways to move up all the way to this tier.
Positive interactions: Hinge decreases your visibilty if you do not write to your matches + frequently get positive responses.
Preferences: The Hinge algorithm uses machine learning to figure out your “type”. Are you other people’s type?
Level of Activity: No app wants inactive users, but if you show too much activity, Hinge will try to get you to spend money, by decreasing your visibility.
The Core of Hinge's Algorithm
Hinge’s algorithm is designed to create real connections. It uses a combination of your preferences, behaviour data and profile information to suggest matches, with advanced app algorithms.[1]
The Hinge algorithm also uses machine learning to pair you with the person you’ll have the best first date with.
User Preferences in Dating Apps
When you set up your Hinge profile you select preferences like age range, gender and location.
These preferences filter the pool of matches so you only see profiles that fit your criteria and are being compared to other users’ preferences.[2]
Behavioral Data in Dating Apps
Hinge tracks Hinge user activity on the app, including which profiles they like, how often they use the app and what type of profiles they engage with the most. This data helps to refine the matches shown to you by identifying patterns in your behaviour.
Profile Information in Dating Apps
Your profile is a key part of the algorithm. Detailed and honest answers to Hinge’s prompts helps the algorithm understand you and your interests so it can match you with people who share similar traits and values.
This can also determine if you see profiles of attractive people according to the app’s standards.
The Gale-Shapley Algorithm
Hinge uses the Gale-Shapley algorithm, a mathematical solution to the stable marriage problem, alongside Hinge’s algorithm which affects user matching and deepens conversations. This algorithm ensures matches are mutual and increases the chance of a connection.[3]
Optimizing Your Profile for Better Matches
To increase matches on Hinge, consider these tips:
Be Specific: Detailed and thoughtful answers to prompts helps the algorithm match you with people who have similar interests and values. Hinge is the only dating app that follows up with users after a match via an in-app survey called ‘we met’ to gather data on the success of their dates.
Use incredible Photos: Your photos are your first impression. Make sure they are clear, high quality and represent you.
Engage Regularly: Using the app and other profiles regularly tells the algorithm you’re an active user and increases your visibility.
Thoughtful Interactions: Meaningful interactions with other profiles, like commenting on prompts not just liking photos, can improve your match quality. But be aware of the subtle yet frustrating shadowban that some users may experience where you can’t find matches or receive messages without being notified or explained.
Summary
How does the Hinge algorithm work?
The Hinge algorithm works by analyzing user preferences, behavior, and profile information to suggest matches. It factors in the quality of interactions, the specificity of prompts, and regular app engagement. Using machine learning, it identifies patterns to optimize match recommendations and employs the Gale-Shapley algorithm to ensure mutual interest.
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