We all have fallen for someone in our lives. Many a time it is basis the first meeting or even first glance. We don’t know everything about the person but still feel deeply connected and long to be with that person. Why does this happen? Why do we fall in love with some but not others? Why do some relationships make us happier than others? Why some last longer than others?
Human mind has an amazing way of working. Who we get attracted to often depends on hundreds of societal, personal and potentially genetic factors. The science of matchmaking or in other words predicting which two people will end up in highly compatible relationship is not easy. Artificial Intelligence is a technique that can mirror human decisions even in circumstances it has not been previously exposed to. Artificial Intelligence, therefore, is a handy tool in relationship science.
Matchmaking apps and sites in western world are already working on algorithms for connecting lovebirds. For example, eHarmony has collaborated with IBM Watson on this. eHarmony users are asked over a hundred questions regarding personal preferences, traits, interests, etc. and all this is used for profiling the user and finding the most suitable or likely matches. It is another matter though that users on sites tend to falsify details to look good. This naturally erodes the efficacy of matching algorithms.
At Marrily, matrimony matchmaking app for Indians, we have taken some baby steps to solve this complex problem. Marrily is powered by recommendation engine that recommends the most probable profiles people will like. Predicting some of the aspects of what people are looking for in their life partner hasn’t been that difficult. But predicting others is complex and needs more refined algorithms that we are developing.
Advances in machine learning techniques and emergence of more nuanced algorithms will certainly help solve the problem faster. In the end, the question remains how to help millions looking to find “the connect” in their lives. And the answer, as it appears, will be unraveled by artificial intelligence.