Data mining dating sites

Nearly 11% of American adults have tried it, and chances are you may end up on Match, OKCupid, or any one of the countless dating sites.Some try to rig the dating-game from the very beginning.

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Using Deep Learning to find the perfect match, Ph D student Harm de Vries describes the process of data collection and analysis.

Finally, the results from matching algorithm are compared to human assessment for identifying an individual's dating preferences.

Today, Peng Xia at the University of Massachusetts Lowell and a few pals publish the results of their analysis of the behavior of 200,000 people on an online dating site. They say most people behave more or less exactly as social and evolutionary psychology predicts: males tend to look for younger females while females put more emphasis on the socioeconomic status of potential partners. They say that when it comes to choosing partners, both men and women’s actual behavior differs significantly from their stated tastes and preferences which they outline when they first sign up.

In other words, people are not as fussy about partners as they make out.

Dilbert looks at #analytics of #dating and A/B testing; A Deep Dive into Recurrent Neural Nets #Deep Learning; Great read: #Visualizing Representations: #Deep Learning and Human Beings; 9 Lessons: Picking the Right #No SQL Tools.

Interview: Thomas Levi, Plenty Of Fish on what does Big Data tell us about Romance and how online dating is improving matching through Big Data; Predictive Analytics Innovation Summit 2014 London: Day 1 Highlights; Probabilistic Approaches to Recommendations.

The real million dollar question is: can you leverage all those numbers and data points to help yourself?

If you’re single, you may have already considered online dating.

As a result, about 20 percent of current romantic relationships turn out to have started online.

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