Implementing mathematical algorithms that connects people by finding similarities in answers given to a suggested questionnaire is a great strategy. Such algorithms are mostly based on the compatibility percentage of answers given for each question separately or all questions collectively. Some dating apps, like OkCupid determine the compatibility rate in a more complex way taking into account not only your answers but also how you would like someone else to answer and how important this question is for you.
But how to create your own dating app that will be this popular?
More advanced algorithms always come in handy in these situations when people enter inaccurate information about themselves. Algorithms for behavior-based matching are more complicated than any others as they operate with data gathered from outside sources (social networks accounts, profiles, groups they visit, musical playlists, etc.). Generating and analyzing large datasets require significant resources.
To be specific, the particular machine learning technology that powers Netflix and Amazon’s personalized recommendations can be applied to dating apps. Data, available in social networks and other media is being thoroughly analyzed, layered and structured, which allows not only efficient matches but also make predictions. İncele
