Now, find your Sweet heart with Data Analytics !

LOVE in Online !!! Days were gone where we search for the loving peer in our college classrooms and hostile office rooms. We live in the digital age where the web is the world.

In the early 90s, chatting, instant messaging, and the Internet community were ways that individual connected online. In recent years, social media platforms including Facebook and Twitter have attracted people around the world to build and expand their social network online. As with such technical and cultural context, online dating services have emerged for the purpose of helping users find new people online who are well-matched with them. The concept of online dating has become famous in the early 2000s. Now, the one in every 18 Americans is using Big data Analytics to find there companionship.  

The online dating sites collect data about customers like there hobbies, interests, passion, likes, dislikes etc. The information is analyzed, compiled in a database system and then shifted to a variety of different algorithms to predicts the best matches. The dating sites use different algorithms to find the best matches and thereby they compete themselves for better customer satisfaction.  

Here is how I explain the basic algorithm that the online dating sites use.

The site asks the questions and thereby they evaluate ur compatibility. They give the points for every question. 

Now, let us check out the Alice and Bob Compatibility 

 Alice

	Question 1: Do you like watching football on TV?	Question 2: Are you a tidy person?
Self	Yes	No
Wanted from partner	Yes	Yes
Importance	A little	Somewhat
Importance score	1	10	Total = 11

Bob

	Question 1: Do you like watching football on TV?	Question 2: Are you a tidy person?
Self	Yes	Yes
Wanted from partner	Yes	Yes
Importance	Very	Very
Importance score	250	250	Total = 500

How their match percentage is calculated.

Alice’s score: Over the two questions Alice answered a little important and somewhat important meaning these questions are worth 11 points to her. Bob answered as Alice wanted on both questions meaning that Bob got 11/11 and that he is 100% satisfactory to Alice.

Bob’s score: Over the two questions Bob answered very important both times meaning these questions are worth 500 points to Bob. Alice answered as Bob wanted on one of the questions meaning Alice got 250/500 = 50%. Alice is 50% satisfactory to Bob.

OKCupid then takes the two-match percentages and calculates what is called the geometric mean. For two numbers this means multiplying them together and taking the square root.

100∗50−−−−−−−√$\sqrt{100\ast 50}$ = 71% (nearest whole number) !!!!!!!!.

Using this algorithm showed that Alice and Bob are 71% compatible. However, Alice and Bob only answered two questions, which doesn’t really give enough information about them. The site, therefore, adds in another feature which incentivizes users to answer at least 100 questions.

You might already be wondering about how effective the algorithm is and whether it could be improved. There is a lot of human psychology involved – for example, would Alice have really been honest that she isn’t tidy? Some other sites use different tools such as GPS, where users are matched with other people who are geographically close to them.

In the future, there are going to be more and more jobs for people who can use maths in a smart way to improve the way people do things. Instead of improving a dating algorithm you could be working for an online retailer making sure people are recommended the products which they like, or improving an app which helps people plan their next journey.

If you like thinking in a logical, mathematical way, then maybe you would be interested in being a developer, software engineer or data scientist!.