Dating in 2020 is a roller coaster, from endless swiping to video chat dates, the worry that your quarantine-boo might be fake is all too real. "I've been on Tinder on-and-off for the past three years, but have been back on since March when the pandemic started. I have been seeing more bots than usual," said Carlos Zavala, 25, of his dating experience. Online dating in the U.S. has become the most popular way couples connect, a Stanford study published in 2019 found. That finding is being put to the test with the outbreak of the coronavirus in the U.S. since mid-March.
Scientists say online daters and singletons'might as well let a stranger pick their dates' because they don't really know what they want in a romantic partner. US researchers say they've found little evidence that people actually desire romantic partners who uniquely fit their ideal description or type. Singletons often become so romantically interested in prospective matches that they convince themselves that their date does possess the traits they deem most desirable. A person's ideal partner does not reflect'any unique personal insight' of tastes, researchers say – and when we say what we like in a partner we're actually just describing qualities that everyone likes. The research could help shift online dating away from a model that focuses on stringently matching profiles and attributes.
The next challenge was to decide what to sell beyond books. They picked CDs and DVDs. Over the years, electronics, toys and clothing followed, as did overseas expansion. And all this time, Amazon was building a battalion of data-mining experts. Artificial intelligence expert Andreas Weigend was one of the first. Before joining, he had published more than 100 scientific articles, co-founded one of the first music recommendation systems, and worked on an application to analyse online trades in real-time.
When I reflected on the past decade of dating at the end of 2019, none of us had any idea what was in store for us at the start of this year. Take your mind on a journey back to the far-off time of last year. Dating was still considered to be a bad time by many. Online dating and apps -- now the most popular way couples meet -- had long been blamed for hookup culture and fostering an environment where ghosting ran amok. If people (by and large men) weren't ghosting, then they were probably sending messages horrible enough to warrant public shaming.
Dating app Badoo has launched a new safety feature that uses AI to detect unsolicited nudes that get sent through the app. Badoo, which has been described as'like Facebook but for sex', says its'private detector' has a 98 per cent accuracy rate when covering up intimate photos. The feature's AI identifies potentially offending photos, automatically blurs them and gives users a warning that they could contain'inappropriate content'. Users are then given the choice to open and view the content or block the explicit image and report it to the app's moderation team. The feature was introduced to the'feminist dating app' Bumble last year, which is owned by the same holding company as Badoo.
Google is making it easier to connect with more people in video calls and meetings using its Nest Hub Max video display device. The Nest Hub Max ($229), released about 10 months ago, served as Google's entry in the smart video display competition with Amazon's Echo Show and Facebook's Portal. An update, out now, lets you make group calls of up to 32 with the Google Duo app – and up to 100 in the Google Meet app. Previously, Nest Hub Max get-togethers maxed out at person to person calls using Google Duo. You create your groups in the Google Duo app (available for Android and iOS) and then tell the Hub Max, "Hey, Google, make a group call."
Meeting someone you connected with online can be awkward. It's even worse when that person looks nothing like their photos. Tinder's Photo Verification feature prompts a user to pose for two real-time selfies and uses AI to compare them with their existing pictures. If it's a match, they get a blue checkmark on their profile, which should provide some level of assurance that the person isn't a catfish. The feature has been available in select US markets since January, but starting today, it's rolling out across the UK, too.
Over the last few years, the team has built the course recommendation engine from the ground up and evolved it to serve recommendations using hyper-personalized models that learn billions of coefficients for our millions of members (Shivani Rao et al CIKM 2019, Polatkan et al blog post). A key goal of this recommendation engine is to surface the most relevant and personalized course recommendations, which can help learners develop new skills and drive engagement on the platform. In this two-part series, we'll show how Learning AI is recommending relevant courses to our members and helping drive engagement by using state-of-the-art AI technologies. In part 1, we'll share an overview of our recommendation engine design and then present a high-level explanation of the three main components of the engine. Later, in part 2, we'll delve deeper into each of the engine's components, providing insight into how we generate personalized course recommendations for every learner on the platform.
Google Maps is working on a new feature that will show you how to reach the nearest public transport connection, according to new leaked screenshots. The new Maps filter will let users choose what mode of transportation they will be using at the very beginning of their daily commute, the screenshots show. Once rolled out, the feature will allow commuters to work out their preferred route to various transport connections, such as the train station, when they return to the workplace after the coronavirus pandemic. The screenshots also reveal an option to get more accurate Uber fares using data from Google Maps and a slightly new design for the Maps interface. 'Google Maps is working on route options with "Connections to Public Transit", such as car and transit, bicycle and transit, auto rickshaw, ride service [and] motorcycle and transit,' said Jane Wong, a Hong Kong-based hacker, tech blogger and software engineer, who leaked the screenshots.