When you meet someone on-line, you may spend weeks emailing and messaging back and forth before you meet up, and they may not be at all what you expected when you finally meet in person.
Services like and have a large pool of individuals looking to date, hook-up, and marry.
There are also sex dating sites that help individuals find sexual partners.
For example, sites like offer adult dating in the UK, while others, such as Up For and IWant U.com, consider themselves free sex dating sites and offer services like online adult chat.
The problem is that there are oftentimes so many profiles to sort through that the choices are overwhelming, which causes you to miss out on people who actually might be good matches.
Other dating services, such as e Harmony, propose that matching dating partners based on similarity will lead to better pairings.
They accomplish this (allegedly) by analyzing responses to a lengthy survey using a proprietary algorithm, or in less fancy terms, a formula they use make money (consider it the KFC secret recipe of matching partners).In another Science of Relationships article, Paul Eastwick wrote a summary of a paper he co-authored, essentially showing that the algorithms used to match people don’t work the way that they are supposed to, and you are no better off relying on the matches made for you than if you were just meeting someone cold in the library or at a sporting event.He and his co-authors recommend that dating sites change the algorithms to match on factors demonstrated by research to be more effective at predicting long-term compatibility.Finally, there are recent trends for using mobile dating apps (e.g., Skout, Zoosk), which help you find people in your immediate vicinity who want to meet up (read our piece about dating apps here).So, if you are out for happy hour with friends, or want to grab a quick drink and see if someone is out and about, then you can locate the other person quickly to schedule a quick date.Researchers suggest that this approach may be the most effective option until “matching” algorithms are improved, as you can quickly gather a lot of information right away.