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Perfect with similar tastes who could become his soul mate.He devised a match making algorithm that suggested 20,000 compatible women with his tastes and preferences.

Online dating sites combine "data" and "analytics" to help people find their perfect soul mate.The real hero behind the success stories of online love is the big data analytics technology and infrastructure that help people find their perfect life partner based on their stated preferences and behavioural matching.Image Credit: Dating sites need to generate as much online dating data as possible for more probability of success in matching up partners who like each other.The questionnaire though helps in generating large datasets, there are still some weaknesses to the nature of online dating data collected through this method which makes big data analytics in dating more challenging.A couple of months ago an article was circulating on about how Chris Mc Kinlay, a 35 year old UCLA Ph. graduate devised an algorithm to hack Ok Cupid by optimally using the data that was already there.

Mc Kinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs.

According to the market research by IBIS world in 2014, Online dating industry in US is worth 2 billion dollars which has grown at the rate of 3.5% since 2008 and the Canadian dating industry amounts to 3 million.

Juniper Research estimates that due to the excessive use of mobile phone apps, the online dating market is all set to rise from

Mc Kinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs.According to the market research by IBIS world in 2014, Online dating industry in US is worth 2 billion dollars which has grown at the rate of 3.5% since 2008 and the Canadian dating industry amounts to $153 million.Juniper Research estimates that due to the excessive use of mobile phone apps, the online dating market is all set to rise from $1 billion in 2011 to $2.3 billion in 2016.Some of the dating websites are making efforts to generate online dating data for big data analytics by analyzing the behavior of users on the dating website based on the kind of profiles they visit.Few other dating sites employ collaborative filtering (preferences and tastes of several users are grouped into sets of similar users) to recommend dates based on their preferences and tastes.Online dating data is generally in the form of a questionnaire that helps users describe themselves about their likes, dislikes, interests, passions and other useful information.

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Mc Kinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs.

According to the market research by IBIS world in 2014, Online dating industry in US is worth 2 billion dollars which has grown at the rate of 3.5% since 2008 and the Canadian dating industry amounts to $153 million.

Juniper Research estimates that due to the excessive use of mobile phone apps, the online dating market is all set to rise from $1 billion in 2011 to $2.3 billion in 2016.

Some of the dating websites are making efforts to generate online dating data for big data analytics by analyzing the behavior of users on the dating website based on the kind of profiles they visit.

Few other dating sites employ collaborative filtering (preferences and tastes of several users are grouped into sets of similar users) to recommend dates based on their preferences and tastes.

Online dating data is generally in the form of a questionnaire that helps users describe themselves about their likes, dislikes, interests, passions and other useful information.

billion in 2011 to .3 billion in 2016.

Some of the dating websites are making efforts to generate online dating data for big data analytics by analyzing the behavior of users on the dating website based on the kind of profiles they visit.

Few other dating sites employ collaborative filtering (preferences and tastes of several users are grouped into sets of similar users) to recommend dates based on their preferences and tastes.

Online dating data is generally in the form of a questionnaire that helps users describe themselves about their likes, dislikes, interests, passions and other useful information.