Internet dating has advanced significantly in a short time. It was formerly seen as a less-than-admirable method of meeting people for dates, but it has now cemented itself in our culture. Online dating was originally only spoken in whispers that were carefully hidden. Now, hearing from a buddy that they are going on a date via OKCupid, eHarmony, or Tinder is commonplace.

This transformation is partially due to how we use the internet, which is integrated into our daily lives through social media, work, and cell phones. The size of the massive profile data collected on online dating sites has increased along with it. Using the data you supply, they can give better matches, resulting in more intriguing dates and compatibility.

Growth of Big Data

Computing has mainly adhered to Moore's Law during the last few decades. The cost of storing data has significantly decreased since ever-more-powerful hardware and processors are now much more affordable. As the Quantified Self and Internet of Things movements can attest, it has also made large-scale data collection more reasonably priced.

In the early 2010s, big data was a trendy issue. It is just our capacity to generate and store enormous volumes of data automatically, despite many commentators making it seem complicated. Big data engineers are increasingly engaged and compensated well to acquire the data. Data scientists then examine the data to discover patterns, trends, and other insights. If you are also planning to become a data scientist, you can refer to the data science course in Bangalore, which is geared towards working professionals. 

The Matchmakers of Data

Being matched with individuals you like is the largest problem for online dating companies. Even in the early days of online dating, the services tried to match you with the ideal date using quizzes and profile information. Before the Big Data boom, however, it was frequently a somewhat laborious procedure, occasionally leaving you unsatisfied by the end of a date.

However, the surveys are now a part of the website's expanding data set. Specific questions with clear answers have been included. Also, they have increased the volume and diversity of data gathered. The number of users on all the sites has expanded simultaneously, producing massive data. Online dating services want to be able to predict matches that will make you happy with more certainty; thus, they are creating ML algorithms.

eHarmony

Since its doors opened to those looking for love in 2000, eHarmony has grown to have over 33 million members. The website sets itself apart from the competitors by advertising itself as a relationship website rather than a dating website. The firm is not required to provide its data and statistics to the broader public because it is privately held.

More than 600,000 marriages have occurred due to online dating, with more than two-thirds occurring within the first year.

A customized questionnaire used by eHarmony seeks to delve deeply into your personality and what qualities you would value in a companion. It requires a lot of work because there are 258 questions, and it takes approximately 18 hours to finish. But, it is because of that data that the website is able to learn as much about you as possible before adding you to their matching algorithms.

When eHarmony said it was collaborating with IBM's Watson artificial intelligence technology, it further solidified its commitment to data. With the help of IBM's PureData System, eHarmony can examine trends in petabytes of data and complete its 3.5 million daily matches.

OkCupid

OKCupid was created in 2001 by Harvard University students, like many other digital businesses. The website's core features are a variety of entertaining personality tests based on the iconic Myers-Briggs Type Indicator.

They consider your responses, how you want your ideal match to respond, and how significant each topic is to you. Your match will be generated using their algorithm using the data once it has been translated to numerical values and inputted, along with a % compatibility rating.

Since 2014, OKCupid has published a blog discussing some of the most fascinating and unexpected things they discover due to their data analysis. They also stoked controversy by openly revealing that they utilized part of this data to conduct experiments on its users. Yet, the trials mostly show that humans may be really superficial.

Data-Driven Dating

Some dating websites have adopted a different strategy, while others, like eHarmony and OKCupid, have found success in data mining for matches. Tinder is probably the most well-known of the rivals.

You may swipe through ideas using their mobile app based on your area; a brief bio pulled directly from your Facebook page, and a few photographs. With more than 50 million users as of 2014, Tinder became the most well-known online dating service in only a few short years.

Those users swipe 1.6 billion times daily, resulting in 26 million matches. This high number of matches surpasses those on OKCupid, eHarmony, and other conventional data-based dating sites by a wide margin.

It's unclear if these connections result in long-term relationships, given how new the program is. Yet it's obvious that in the world of internet dating, statistics don't always mean everything.

Can Big Data Help You Find Love?

Since it debuted over twenty years ago, online dating has advanced significantly. Companies compete to demonstrate that they have the best matching algorithms due to the decreased data collection, storage, and analysis cost. You have a wide range of dating site options, just like several options for dates. They range from the time-consuming but scientific eHarmony to the entertaining and casual OKCupid.

Although these businesses profit handsomely from collecting your data, you also gain from it.

These businesses might be the secret to finding love online, from compatibility matches to profile image selection. The key indicator of a dating site's success is how simple it is to locate a match you love spending time with. These websites aim to reduce the number of fish in your sea using big data as a guide.

Hope you got some insight into how data is used in dating apps. For more information, join the IBM-accredited data science course in Pune, and learn directly from the MNC data scientist.