Online dating big data

Contents:


  1. Big data dating | The Network | The Network
  2. Big data dating: romance goes digital
  3. How Big Data Changed Online Dating
  4. The data science of love: how dating sites use big data

With the help of privacy activist Paul-Olivier Dehaye from personaldata.


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  4. Multiple data sources enable richer dating profiles.

Facebook has thousands of pages about you! As I flicked through page after page of my data I felt guilty. I was amazed by how much information I was voluntarily disclosing: A July study revealed Tinder users are excessively willing to disclose information without realising it.

Big data dating | The Network | The Network

This is why seeing everything printed strikes you. We are physical creatures. Tinder knows me so well. It knows how often you connect and at which times; the percentage of white men, black men, Asian men you have matched; which kinds of people are interested in you; which words you use the most; how much time people spend on your picture before swiping you, and so on.


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  • Swipe Right for Big Data | How Data Affects the Way We Date In - HeadStuff.
  • 5.3 Big Data Analytics for Online Dating Services.
  • I asked Tinder for my data. It sent me 800 pages of my deepest, darkest secrets.
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  • Personal data is the fuel of the economy. What will happen if this treasure trove of data gets hacked, is made public or simply bought by another company? It's likely possible that the upcoming generation of digital daters will wise to the issues.

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    In , Pew Research found U. Further down the line, technology could offer even more ways of taking the risks out of dating.

    Big data dating: romance goes digital

    This kind of date would be just like a real one, she says. You could hold your date's hand or smell their scent. But you would not be with them in person. Depending on how the date goes, that could be a shame… or a relief.


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    How Big Data Changed Online Dating

    Cisco plays a major role in the history of the internet. With permission from users, many apps and sites gain additional data insight from other sites they use, such as social media platforms, preferences on streaming sites and even online shopping histories. Known as collaborative filtering, this approach matches users based on factors like their most-watched shows and the kind of products they buy.

    It can result in more harmonious pairings than questionnaire data alone, especially when users can be tempted to appear more appealing on paper by hiding their real likes and dislikes. Taking the data from social media one step further, dating app LoveFlutter presents users with a detailed snapshot of their personality when they link it up to their Twitter account.

    The data science of love: how dating sites use big data

    While they cannot promise matches based on personality, a growing number of dating apps are giving users the opportunity to find potential partners that look like another person of their choosing. Through deep learning , an app can learn to identify particular facial features by analysing huge numbers of images of human faces. Able to train itself, a deep learning application can pinpoint the key characteristics of a face that it needs to recognise to differentiate one person from another, such as the shape of the nose or the colour of the eyes, without being told.

    When a user uploads an image of the kind of person they want to meet, the app searches its bank of images to find people with features that most closely resemble those of the person in the original image. Relative newcomer to the dating apps scene, Badoo , is one such app. Similar to the way dating sites supplement submitted questionnaire data with consumer data from third parties, some also use algorithms to read between the lines of on-site user behaviour.

    This has stemmed from the fact that there can often be a disconnect between what sort of partner users say they want when they set up a profile, and the kind of profiles they end up spending most time looking at.