Make Money Online Queries? Struggling To Get Traffic To Your Blog? Sign Up On (HBB) Forum Now!

How Machine Learning is Making Your Hookup App Better


Finding a perfect match is hard, but check out how your hookup app is using machine learning to be better than ever.

Decent hookup apps that give you the right match on the first try are hard to come by. Yet there’s proof that hookup and dating sites are more popular than ever. Demand is high for an app that doesn’t give you a new “worst date ever” story or a few weeks of a good time. Users want efficiently and accuracy. Modern technology is developing to deliver in the form of machine learning.

How Machine Learning Is Making Your Hookup App Better

Machine learning offers you better recommendations on restaurants to visit, is able to transcribe your texts with improved accuracy, and can predict what directions you want before you want them. Now it’s arrived on hookup apps to improve your nightlife – with some creative advantages.

It Learns From Your Previous Experiences – Just Like You

We all learn from our mistakes – and now our machines are too. When you are given a bad match and the experience doesn’t pan out how you intended, rather than adding that lesson to your own mentality, machine learning records which matches were short-term and unsatisfying. Then it weeds out the main characteristics of this style of match that was incompatible. This allows the app to make better choices in the future, and win back your confidence. The longer you stick around, the better service you’ll receive.

It Compares The Good And Bad Experiences Of Other Users To Help You Avoid Their Mistakes

Even if you’re not a perfect match for someone, you could have a lot in common. The hookups one similar user despises could be the same you hate, or their mistakes in a choice could be the very mistakes you’re about to make. Machine learning puts its advanced algorithms to use identifying patterns and learning from a user’s mistakes, and then compares it to the wealth of data available to detect patterns between individual users. If several people like you seem to be poorly matched to the same style of person, then the machine will learn from this mistake and rearranging its process to give you the style of matches other users have experienced more success with. So you’re not benefitting from your own experience or even the experience of the software; you’re benefitting from hundreds if not thousands of other users’ experience.

It Learns What Questions And Surveys Are The Most Telling For Users

eHarmony at one time had over 500 questions for users to answer so their profile could be better matched with a potentially perfect single. According to Vaclav Petricek, Principal Data Specialist with eHarmony, that has since been narrowed down to 150 with the insights of machine learning determining which questions are most likely to be lied on and which truly reveal the most in human psychology. Other hookup apps like are adopting the same software, pinpointing the most vital questions and answers you need for an excellent match.

Practice makes for the perfect match, but machine learning is taking out the trial and error by learning from you, other data, and other users, so you can have an app that makes a hookup customized and specialized – faster.


CEO and Founder of Slashsquare, Indian Blog Network and Web Consulting Media. HBB is a part of Slashsquare Network. I'm a Tech Blogger, Striving Entrepreneur, Atheist, and Proud Indian. Catch me on Facebook and Twitter.

  • My Website

Want to discuss your queries and interact with experts? You can connect with HellBound Bloggers (HBB) Facebook group for free!

Join HellBound Bloggers (HBB) and get Instant Updates. We'll also notify you with Great Deals, Discounts and other Interesting Tips. We won't SPAM or SHARE your Email Address with anyone.

Thank you for reading! We welcome and appreciate your comments, but at the same time, make sure you are adding something valuable to this article. If you have any serious queries, suggestions or anything related to this article, feel free to share them, we really appreciate that.

But, if your blog comments are a random "Thank you", "Useful Post", or anything that doesn't actually upscale the article, then we'll be removing them and it won't be appeared below. Thanks for understanding and thanks for connecting with us. If you want to give us any feedback or report any errors, you can kindly contact us and we'll revert back soon.

  • Comments
  • Facebook Comments
  • Comments

    Leave a Reply

    Your email address will not be published.

    You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

  • Facebook Comments