# Romance-Analyzing Apps The 'Evolve' App Tracks Dating Patterns Using Machine Learning By Michael Hemsworth | Published 2017-01-26 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/dating-patterns References: [betalist](https://betalist.com/startups/evolve) & [evolveapp](http://evolveapp.com) Those looking to harness the power of [big data and machine learning](https://www.trendhunter.com/trends/mutually-app) can utilize the 'Evolve' app to learn more about their personal dating patterns and others just like them. It works by having users reflect on their experiences and learn more about those who are in similar situations. From here, users can see where they might have better success to optimize the process of finding love and romance in the [digital dating world](https://www.trendhunter.com/trends/overtone-app) and beyond. The various dating patterns of those in the modern era have changed quite a bit over the past several years thanks to smartphone technology and social media. This has resulted in a lot of success for some and a lot of frustration for others. 'Evolve' works to make it possible to know more accurately where you might be able to make a meaningful connection. ## Trend Insights (Trend Hunter) - Score: 2.3/10 - Popularity: 27% | Activity: 35% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Mobile](https://www.trendhunter.com/mobile) ## Key Themes ### Key Themes Behind This Trend - **Machine Learning Romance:** Apps utilizing machine learning to analyze dating patterns to optimize user’s preferences and matches in digital dating. - **Personalized Dating:** Apps using big data to provide personalized dating suggestions and improve user experiences to find love online and offline. - **Reflective Dating:** Apps encouraging users to reflect on their dating patterns and experiences in order to learn more about themselves and others to improve romantic success. ### Where This Applies - **Dating Industry:** Companies within the dating industry can leverage machine learning and big data to deliver more personalized matchmaking services to their users. - **Tech Industry:** Tech companies can design and develop apps that utilize machine learning and big data to optimize user experiences and improve the success rate of finding meaningful romantic connections. - **Psychology Industry:** Professionals within the psychology industry can work with dating app companies to create more effective reflective exercises that encourage users to learn more about themselves and others to improve their romantic outcomes. ## Related on Trend Hunter - [AI Dating Coach Apps](https://www.trendhunter.com/trends/ai-dating-coach-apps.md) - [AI-Powered Romantic Chemistry Predictors](https://www.trendhunter.com/trends/romantic-chemistry-predictor.md) - [AI Dating Assistants](https://www.trendhunter.com/trends/intimal.md) - [AI-Powered Dating Apps](https://www.trendhunter.com/trends/iris-dating.md) - [AI-Powered Swiping Assistants](https://www.trendhunter.com/trends/wizard-of-swipe-for-tinder.md) - [AI Matchmakers](https://www.trendhunter.com/trends/ai-matchmaker.md) - [AI-Powered Dating Simulators](https://www.trendhunter.com/trends/koi-suru-ai.md) - [Romantic AI Portraits](https://www.trendhunter.com/trends/true-love-portrait.md) - [Redefined AI Dating](https://www.trendhunter.com/trends/hey-ai.md)