Just hook up video free phone chat asian - Ok cupid dating analysis

The challenge in predictive modeling in dating sites is in understanding what self-reported data is “real” in the prediction models.

People have a tendency to lie (or exaggerate) about age, body type, height, education, interests etc.

Just check out the user activity stats: Tinder’s engagement is staggering.

The company said that, on average, people log into the app 11 times a day.

” Some very sophisticated machine learning and predictive analytics models are powering the online dating or hookup world.

A lot of innovation is taking place around real-time, geo-location based matching services.

Women spend as much as 8.5 minutes swiping left and right during a single session; men spend 7.2 minutes. Add that all up and you’ve got billions of swipes, which puts Tinder into the realm of serious personal Big Data.

According to a job posting for an analytics engineer, Tinder uses Java, Hadoop, Data Analysis, Mapreduce, Algorithms, Clojure, Unix, Hive and using the AWS Cloud. This allowed it to create a better user experience unlike other online dating websites that did a lift-and-shift of their existing (desktop) user experiences to mobile. Badoo subscribers sign up by posting a photo and basic personal details.Most of the top terms suggest that being active in sports, especially outdoor sports like skiing and surfing, will improve your odds.“London” is also a highly ranked term (as is “NYC” for women and “passports” for men), suggesting that online daters are also looking for a worldly type, or at least someone who likes to travel.Match Group dating portfolio has over 45 brands, including Match, Ok Cupid, Tinder, Meetic, Twoo, Our Time, Black People Meet and Friend Scout24, each designed to increase our users’ likelihood of finding a romantic connection.We currently offer our dating products in 38 languages across more than 190 countries, and we had approximately 59 million MAU, and approximately 4.7 million paid members [September 30, 2015].Coinciding with the trend toward mobile, there is a meaningful shift of usage from desktop to mobile devices.

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