South Asian dating app Dil Mil is taking a new approach to matchmaking, combining sensitivity to regional cultural issues with cutting-edge artificial intelligence and predictive analytics techniques.
The app is built on a learning algorithm that includes dynamic rankings, as reported by Forbes. Each time a single uses Dil Mil, the app refines the prospective matches it shows, progressively improving the accuracy of its suggestions.
Dil Mil Users start by entering some information into the app, including preferences for a match. After that, Dil Mil displays personalized matches for each user that are increasingly refined by the app’s predictive analytics.
Dil Mil claims to have made more than 1 million matches using its approach.
Other dating apps also make use of AI to improve matchmaking results. For example, market-leader Tinder employs machine learning to evaluate user inputs and generate more relevant matches.
Tinder also uses machine learning to analyze photos of users and determine which ones are most effective in attracting interest from prospective dates. The most effective photos are displayed first, resulting in 12 percent increases in matches during a test of the system, according to Tinder.
Tinder has garnered massive acceptance in India and other countries in the region. The company in 2016 said it ranks among its top-five fastest growing markets, with more than 14 million swipes each day from people aged from 19 to 25, according to an article in India Today.
However, Tinder and other apps often have a more Western orientation. In contrast, Dil Mil said it’s bringing a more local perspective to dating.
Other dating apps, “aren’t addressing (South Asians’) desire to preserve their cultural and religious heritage,” said KJ Dhaliwal and Sukhmeet Toor, founders of the dating app Dil Mil, in a Forbes quote.
The app attempts to resist the “hookup” approach that often characterizes western dating sites. Instead, reflecting local customs, Dil Mil aims to act as a sort of virtual matchmaker, taking the place of family members or close friends who traditionally have brought together couples in villages or neighborhoods.
Dil Mil also attempts to ensure that users can find matches based on their own preferences, rather than the wishes of their parents. In a region where arranged marriages are prevalent, users’ profiles on dating apps often are written by their parents. The app provides security and privacy measures to ensure profiles and other inputs are based on individual users’ own preferences.
With the use of predictive analytics, Dil Mil is combining matters of the heart with matters of the head to help South Asians find their dream matches.
Nirel Marofsky is project analyst for the cognitive engine and application ecosystem at Veritone. She acts as a liaison to strategic partners, integrating developers and their capabilities into the Veritone Platform. Learn more about our platform and join the Veritone developer ecosystem today.