1. Artificial Intelligence Guessing A Relationship Status
Algorithms combine people in groups based on their similar searches and assign them a specific category. It defines similarity among people on their buying and browsing behaviour, their age and genders. It differs from historical trend method as it shows the result of other persons as well of the same group.
c) Content-Based
It doesn’t focus on a person’s intend but on particular products. For instance, a movie providing website recommends films based on genre, language, length, and cast of the movie.
Some recommendation engines work as a hybrid and save all kinds of queries to show for the next time in suggestions.
After collecting the data, AI algorithms become active to share likelihood information about a particular person. It’s based on their interest; the algorithm also updates its suggestions when a user accepts or rejects a specific request.
DataRobot is an AI organization, launched a tool that uses data from Stanford University and asks six questions related to one’s relationship. It uses this data to predict the next years of a relationship; will it go further or end?
How DataRobot Labs Arm Developed this Tool?
Stanford University made a quiz in 2009 about 4000 Americans known as ‘’How Couples Meet and Stay Together.” It collected information from many couples, and then after some years, repeated the same quiz and shared collected data with the public. The primary function of this predictive model was to predict outcomes. The researcher took this data for developing a model 
for predicting relationship statuses.
‘’That’s kind of got the icky feel to it. we wanted to stay away from anything too personal and sensitive.”
The company asks only six questions which are not too personal, and couples don’t hesitate to respond to them. Even the app doesn’t ask if partners are living together or not.
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