Postmarken online dating

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.

It is not a short questionnaire that you answer what is your favorite sport and color and the results help you find your life partner.After dating several women matching his compatibility percentage, he finally found his soul mate Tien Wang on his 88 date.Technological innovations in big data paved for perfect match making online.Another instance where a user might end up providing inaccurate data unintentionally is that he/she might believe that they love listening to classical music but the accuracy of this data can better be determined by analysis of the Spotify playlist or i Tunes history.Online Hadoop Training to build enterprise Hadoop applications for Big Data Hadoop Companies Weaknesses in online dating data can lead to an incompatible match.

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