From machine learning to communication in video chats: Leading trends in online dating

    0
    5

    Internet dating has fundamentally changed the way contemporaries meet, make new friends, and search for love. Nowadays, dating apps are extremely popular and offer the widest opportunities for anyone who looking for ways to expand their social circle and gain new experiences.

    Today, we will talk about how the web dating industry is changing, how it can surprise you, and how machine learning tools make online dating more promising than before. We promise there will be a lot of interesting things in this article!

    Some interesting statistics

    One of the obvious trends in online dating is the growth in the number of users and the income of companies such as Tinder, Badoo, Hinge, and others. If we take a look at Statista’s data, we can see that at the end of 2022, the number of users of dating applications in the world amounted to 266 million people, and the revenue of this segment reached $2.86 billion. There is no doubt that growth will be significant by the end of 2023. According to the most modest forecasts, by 2027, the number of active users of dating services will reach 440 million people, and revenues will cross the mark of $3.77 billion.

    Obviously, the demand for online dating is on the increase. More people are looking for new ways to meet partners or interlocutors on the Internet. This was made known during the pandemic and social distancing, however, the trend is very indicative currently.

    A variety of modern dating apps

    Most online dating services were very similar to each other 5 to 10 years ago. Today, the competition in this niche is so huge that they have to look for some options in order to stand out and offer their users a whole new experience.

    Currently, you can find more niche dating services:

    • Match.com and eHarmony — for serious relationships.
    • Tinder and Badoo — for more “quick” dating without obligation.
    • OurTime and Lumen — for different age groups.
    • Christian Mingle and JDate — for people with specific religious beliefs.
    • FarmersOnly and Veggly — for users with different interests.
    • Grindr and HER — for representatives of sexual minorities.

    There are a lot of options! Additionally, typical dating services sometimes offer interesting and non-standard solutions. In Bumble, only ladies can take the first step; in Coffee Meets Bagel, you will get one “curated pair” every day; and in Happn, you can see the profiles of people you have crossed paths with in real life. Also, there are quite a lot of such examples too. Most online dating services try to stand out as much as they can, attract the attention of the audience, and offer something new and unusual.

    Let’s not forget about video chats

    One of the first random video chats in history was Omegle in 2009. It managed to quickly attract a lot of attention due to its simplicity, convenience, and the ability to communicate with completely different people from different parts of the world. You don’t need a long registration, fill out a profile, lengthy searches, etc. It is not surprising that soon, in the wake of the popularity of video chat, various Omegle analogues began to appear, and many turned out to be more functional. These are just a few of them below:

    • OmegleAlternative.com — a great alternative to Omegle with an error-free gender filter, a built-in message translator and a search for chat partners by country. Omegle Alternative is a real find for those who want to make new promising acquaintances without wasting time.
    • Omega — a simple analogue of Omegle with gender and geographic filters. However, the platform has a large and active audience. According to the developers, Omega has more than 5 million monthly users, and more than 80 million people from different countries and cities of the world have already used the site.
    • Roulette Chat — one more good analogue of Omegle in which you can communicate tête-à-tête and in a group chat. Immediately after entering, you will be prompted to make a choice such as: Man, Woman, M + F Couple, Girlfriends, or Group. Depending on your choice, the system will connect you to certain users or entire groups of users.
    • Camsurf — a random video chat with the search for interlocutors by gender, country, and interests. If the basic settings are not enough for you, you can pay for a premium account and get more interesting features that include the ability to hide your location, show the verification icon to other users, publish an introductory message, and get subscribers to your social networks.

    However, this is just a small list of popular video chats that can replace Omegle web chat and traditional dating services. If you have not tried to date in chatroulettes before, we recommend that you do. You will surely like it!

    Some examples of how machine learning is being used in modern dating

    Perhaps, it is worth saying that machine learning is used almost everywhere on the Internet today. Random video chats and dating apps are no exception. Machine learning, for example, is used in chatroulettes for the following purposes:

    • Selection of users according to their interests and preferences to provide a more pleasant and promising acquaintance.
    • Filtering unwanted content and blocking violators of the rules from using the site.
    • Automatic detection of the language spoken by the interlocutor, and, if necessary, activation of the translator option.
    • Analysis of data from random video chats, which subsequently helps to improve user experience and prevent unwanted content.

    Traditional dating apps are also not left out and are actively using the power of machine learning for self-improvement. We can name a few significant examples:

    • OkCupid — an application in which you have to answer a lot of personality test questions so that the system draws up a unique portrait of you, and in the future, it can select the most suitable partner(s) for you. The algorithm analyzes each answer and eventually forms the percentage of compatibility with other users. It works very well.
    • Zoosk — an application that prompts you to specify the exact criteria for searching for a potential partner such as age, height, geolocation, religion, etc. Subsequently, the algorithm takes into account these criteria, as well as your behavior on the site (likes, messages, views), and suggests potential partner(s) for you. Yes, such a campaign takes time, because the process of “training” the system is not always fast. However, the more you use Zoosk, the more accurate the recommendations become.
    • eHarmony — an application where you have to pass a big personality test so that the algorithm can draw up your personality profile and compare it with other users. Usually, this is very similar to OkCupid, but there are still some differences in the algorithms of these services.

    Today, in general, machine learning technologies are used to some extent in almost all dating apps and web chats. Often, you do not even notice this, but it is machine learning that makes online dating more promising and exciting. Also, there is no doubt that the role of machine learning will only increase in the future.

    In conclusion: are there any disadvantages and risks of using machine learning in dating?

    In fact, this question cannot be answered explicitly. However, if we speak objectively, there are still some controversial points here. For example, if you provide false or distorted information about yourself, the algorithms will be trained incorrectly. Therefore, it will recommend completely inappropriate people to you. This only complicates the search instead of simplifying it.

    Besides, it is important to consider that machine learning models collect and analyze a huge amount of data about users. In certain cases, this can lead to information leaks if it is not properly protected. Hence, we recommend that it is important for you to choose only proven and reliable dating services that care about your privacy.