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Artificial intelligence (AI) algorithm is helping the users on matrimony sites to find a match not only based on their preferences but also by observing and understanding user behaviour and suggesting real-time appropriate profiles.
AI algorithm knows more about what you are looking for than you might be aware of yourself! This helps us find the best matches for our users — not just by searching according to preferences, but by observing user behaviour and suggesting similar matches,” Shaadi.com’s Chief Technical Officer Siddharth Sharma told PTI.
Meenakshi Variankaval, Head (Data Sciences Lab) at Matrimony.com, which owns BharatMatrimony, said AI was helping the matrimony portals understand diversity and several other factors for matchmaking.
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According to Variankaval, Matrimony.com employs data-driven techniques, which offer suggestions on a real-time basis and recommend appropriate profiles to its members, thereby enhancing their experience and helping them find a match based on their preferences.
“We have also deepened behaviour-based personalisation,” Variankaval added.
According to Sharma, machine learning is used from day one when a user registers and helps through his or her journey.
On being asked whether it has led to any positive impact on the number of users, Sharma said: “Yes, the moment we started using machine learning, it improved the engagement on our platform significantly.”
The co-founder and CEO of matrimony site Banihal, Ishdeep Sawhney, said, “Artificial intelligence has better technology in solving problem compared to an individual or marriage broker trying to take all this information and finding the right answer.”
“Banihal has been doing matchmaking using the artificial intelligence engine Rae for the past 2 years. We have been successful with making the right introductions through this platform so that our customers do not need to search for profiles and take the time to talk and meet people to complete their search,” he said.
On being asked whether AI would replace the traditional questionnaire format to gather information at the time of opening a user’s account, Sharma said, “To a large part, but not completely”
“For example, from the name, one can surmise the community and language preferences. One can make educated guesses by observing their likes and dislikes and start to build a picture of what kind of matches they are looking for.
“However, matchmaking often requires precise information such as date of birth, education, occupation and income, things that cannot be surmised. So yes, while AI can help make the questionnaire much shorter, it cannot eliminate it entirely,” said Sharma.