Many individuals are turning to online dating to meet someone special. Some dating sites locate matches using a geographical radius, others use shared interests, life goals and values, while a data approach has become common for certain services.
One of the newest approaches is centered on a dating platform driven by algorithms to help establish a relationship that will last.
The Multiple Data Sources
Numerous dating sites now providing questionnaires when their users sign up for the service. This provides important personal details for the user. These sites then obtain permission for the user to get more insight through social media platforms, online shopping histories, streaming sites and preferences.
This data offers a lot of information about the user. This is important because many people are not completely honest when they fill out the questionnaire. This approach is referred to as collaborative filtering. Matches are based on what type of product the user purchases or the shows they watch the most. This often results in a better match because the honest dislikes and likes of the user are revealed.
This enables the dating service to reach the right conclusions, establish compatibility and provide advice and dating tips.
It is not possible to guarantee a match based on the personality of the user. This is why many matchmaking, dating and marriage services such as Best-Matchmaking.com offer users the ability to locate a partner that resembles another person. Deep learning analyzes images of people’s faces to identify specific features. Key characteristics can be recognized to differentiate between different people such as eye color or the way the nose is shaped. The process begins when the user uploads an image of the type of person they are attracted to. An image bank is searched to find individuals resembling this image.
Analyzing User Behavior
This analyzation shows what type of partner a user is interested in finding. This involves using the data on the questionnaire, third party data and algorithms to decipher the behavior of the user. This process was created to distinguish between what the user’s profile says they want and the types of profiles the user looks at the most.
These discrepancies are located using software powered by AI or artificial intelligence. The discrepancies enable the service to provide matches based on the actual preferences of the user instead of their original specifications.
Additional information is gathered from the user’s actions on the site such as how much time they are spending looking at matches and how often the user logs in. This determines how serious the user is, if they are comfortable making the first move and which matches will most likely respond to their style.
Data is analyzed from previous matches with AI identifying which insights met with the most success. Big data reveals the true personality of the users and determines what they really want.
The Specifics of Dating Apps
The online dating industry has exceeded $3 billion. One of every ten Americans has used a mobile dating app or online dating site. There are numerous major players in the industry and the majority offer something unique. There are dating sites for Christians, singles over age fifty, individuals interested in a serious relationship and people of the Jewish faith. Each site is focused on a differ4ent audience but all of them are using big data.
These sites ask as many as 400 questions to help determine the hobbies, interests, dislikes and interests of their users. Unfortunately, men are predisposed to lie about their income, height and age while women tend to lie about their weight, age and body build. The issue is when the information is not accurate, the matches are incorrect. For more details visit quantmarketing.com.
Online Dating in Action
This process begins once the user has signed up for the site. Data regarding the user is compiled then analyzed. This information is then stored in a database management system and organized with a variety of algorithms. This decreases the chances of human error while providing the best potential matches. Every site uses a different type of algorithm. Some of the key points include, age, education, religion, physical appearance and income.
The user is matched with an individual with the same characteristics. Facial recognition is often used to locate the type of features the user finds attractive. These results are adjusted by the algorithms. The average person has an image of what their perfect match looks like. Dating sites try to match users with a person fitting this image.