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Efficient Matchmaking Apps

Clean the Sky - Positive Eco Trends & Breakthroughs

'Pear' is a Social Networking Application That's Focused on Romance

— December 28, 2016 — Lifestyle
Finding a mate online can be a somewhat difficult task, so 'Pear' is a social networking application that focuses on making the experience easier for everyone.

Pairing a user up with two potential matches at a time, 'Pear' works on finding out who you like, who you are less into and who you are interested in the most.

'Pear' is powered by a Nobel prize-winning algorithm that was developed by Lloyd Shapley and David Gale that they published in a work entitled 'The Stability of Marriage.'

Online dating has become a popular way for busy professionals to passively get involved with other singles in a casual manner. The 'Pear' social networking application aims to help be a way for singles to find mates that are more up their alley for a longterm relationship rather than just a companion that's good for a few dates.
Trend Themes
1. Niche Matchmaking Apps - Creating matchmaking apps that cater to specific interests or preferences can help users find their ideal partner.
2. Algorithms in Dating Apps - Incorporating Nobel prize-winning algorithms in dating apps can improve matchmaking accuracy and enhance user experience.
3. Long-term Relationship-focused Apps - Building dating apps that prioritize long-term relationships over casual dating can appeal to professionals looking for committed partners.
Industry Implications
1. Online Dating Industry - Innovations in dating apps can disrupt the online dating industry by providing more effective and efficient matchmaking services.
2. Social Media Industry - Combining social networking and dating could transform the social media industry by creating more meaningful connections and communities.
3. Artificial Intelligence Industry - Incorporating AI-powered algorithms in dating apps can revolutionize the artificial intelligence industry by creating more sophisticated and accurate matchmaking systems.
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