1 maja 2021 Bez kategorii

Scientists at Cornell University seemed to decode dating bias that is app their recent paper, Debiasing want: handling Bias and Discrimination on Intimate Platforms.

On it, they argue dating apps that allow users filter their queries by battle – or rely on algorithms that pair up folks of the exact same race – reinforce racial divisions and biases. They stated current algorithms could be tweaked in a fashion that makes competition a less important aspect and assists users branch out of whatever they typically search for.

„there are many proof that claims people do not actually know very well what they want just as much on a dating site,” said Jessie Taft, a research coordinator at Cornell Tech as they think they do, and that intimate preferences are really dynamic, and they can be changed by all types of factors, including how people are presented to you. „there’s lots of potential there for more imagination, introducing more serendipity and creating these platforms in a fashion that encourages exploration instead of just kind of encouraging visitors to do whatever they would ordinarily already do.”

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Marcin Andraka

Absolwent studiów ekonomicznych na kierunku Finanse i Rachunkowość. Z rynkami finansowymi związany od 2008r. (GPW). Od 2010 roku aktywny inwestor rynku walutowego i surowcowego, ze szczególnym uwzględnieniem rynku ropy naftowej typu Brent. Podstawą analiz i decyzji inwestycyjnych jest Teoria Fal Elliotta z zastosowaniem dodatkowych narzędzi jak geometria i kanały trendowe. Nie bez znaczenia są też czynniki fundamentalne, które w przypadku ropy naftowej są szczególnie istotne. Analizy i zagrania oparte o TFE w połączeniu z inną metodologią zamieszcza na blogu www.marcinandraka.blogspot.com