Our Matching Algorithm
Tomeetu's matching algorithm is designed to quickly and efficiently connect users who are likely to be interested in each other. Here's how it works:
- User Preferences: When you set up your profile, you specify your preferences for potential matches, including age range, gender, location preferences, personal interests, and if you're interested in language exchange (either learning or teaching specific languages).
- Smart Filtering & Relevance Ranking: The algorithm applies your core preferences (like age range and gender) as initial filters. For other aspects, such as shared interests and language exchange goals, it intelligently ranks potential matches, increasing the visibility of those who align more closely with what you're looking for. This means you're more likely to see relevant users sooner.
- Mutual Interest Detection: The system keeps track of users who have liked each other. When two users like each other, it's considered a match.
- Prioritization & Boosts: Users who have liked you are given significant priority in your queue. Additionally, profiles that strongly match your specified interests or language exchange goals may also receive a boost, increasing their visibility and your chances of connecting with like-minded individuals.
- Location-Based Matching: If you've opted for local matching, the algorithm uses your location to find nearby users, sorting them by distance.
- Fairness Measures: To ensure a balanced experience for all users, the algorithm includes measures to prevent excessive liking by any single user within a short time frame.
- Real-Time Updates: The system updates in real-time, so when you like someone, it immediately checks if they've liked you back, potentially creating an instant match.
- Efficient Database Queries: The algorithm uses advanced database techniques to quickly search through user profiles and find potential matches.
Why it's fast and effective:
- Targeted Searching: By using your detailed preferences (including interests and language goals), the algorithm significantly narrows down the pool of potential matches, making the search process highly efficient and relevant.
- Smart Sorting: Prioritizing users who have already liked you increases the likelihood of finding mutual matches quickly.
- Optimized Database Operations: The use of advanced database queries allows for rapid searching and matching, even with a large user base.
- Real-Time Processing: Immediate updates and checks for mutual likes mean you don't have to wait to see if you've matched with someone.
While the algorithm is designed to be fast and effective, it's important to note that successful matching also depends on factors like the number of active users in your area and how specific your preferences are.