Swiping Right for Artificial Intelligence

Before vs. After Integrating ML Into Dating Apps
  • eHarmony utilizing Natural Language Processing (NLP) principles such as keyword extraction and sentiment analysis. These tools enable the application to analyze user text data, such as in-app conversations and responses to questionnaires, to identify areas of interest or topics of conversation. To take it one step further, the app is then able to detect an opinion (typically on a scale of positive to negative) towards these topics of conversation in order to match the user in question with other like-minded individuals.[6]
  • Badoo deploying Deep Learning Neural Networks to analyze images and facial features of profiles a user previously liked in order to develop a holistic impression of their physical preferences. The app is then able to show more profiles that tend to share these similar features and image content.[7]
  • Hinge incorporating the Gale-Shapley algorithm, an algorithm developed in 1962 by mathematicians David Gale and Lloyd Shapley which proved a solution to The Stable Marriage Problem. In the context of Hinge’s platform, this method seeks to find a stability point amongst all potential user pairs: where there is not one person in a pair who prefers someone from a different pair who also prefers them in return.[8]
  • DNA Romance is collecting DNA samples and preference data in combination with AI algorithms to match users by genes supposedly linked to attraction. Although the scientific research behind the validity of this matching process is still pending, the end goal for this app and apps alike is to have a process that is dictated by biological compatibility.[9]

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