Dating a computer science
The team developed several algorithms that they tested in a live online trial.
“In our post trial analysis we broke the information down by pretty much any variable we could measure,” says Bain.
She was also 19, with an irresistible English accent and very cute to boot. Except that she dumped me, pulverizing my heart into nanoparticles.
That's also when my career as a professional virgin came to an end. Mom, dad, the sex-ed teacher - none of them had taught me any of this stuff. People only love us for who you are, not who we pretend to be.
“The data is completely anonymised, and when we initially looked at the data we thought that one of the most important things would be what people write about themselves but we found lots of problems with that.
Then we explored other things that seemed to be important, like smoking or not smoking, wanting children or not, but when we started analysing that we found the data was incomplete, noisy and very hard to find consistent patterns,” explains Bain.
“But the application could work for anybody on the market,” assures Borcea.
The app developers applied for a patent in 2016, and plan to roll out the first phase of Face Date exclusively to NJIT students in the coming months, with the hope of securing funding for further development and implementation on i OS.
Next, you’ll be asked to upload a set of photos, giving you the ability to meet people who bear a resemblance to someone you find attractive. If you’re partial to dimples, high cheekbones and a strong jawline, Face Date will store the images in a database, distribute the search request, facilitate the matching of photos and organize conversations between you and other users who match your inclinations.“Our task was to develop a recommender system that would rank enough potential ‘good dates’ in the top five or 10 so the user would be interested enough to take it to the next step.” Recommender systems have been popping up on e-commerce websites for the last 20 years and have changed the way people find products, information and (in the case of RSVP) other people.It is an information filtering technology that ‘recommends’ items that are likely to be of interest to the user, based on their profile and the opinions and habits of the whole community of users.As scores of singles wade through a crowded market, teeming with Tinders, Hornets, Bumbles, Hinges, Queeps and Mocos (yes, those are all actual dating apps), graduate computer science students in Ying Wu College of Computing at NJIT have invented a matchmaker that’s poised to stand out from the crowd. students Hillol Debnath, Nafize Paiker, Jianchen Shan and master’s student Pradyumna Neog under the direction of Cristian Borcea, professor and chair of the computer science department.It’s called Face Date: a mobile dating app that matches people based on their facial features in lieu of text profiles. Face Date users are able to train the mobile app by uploading photos of faces they find attractive, and the app will provide matches, using a face recognition algorithm.