0 for iPhone iPod touch Debuts a stupendous Silicon area, calif, april 17, 2013 /prnewswire/ scheming today released ness 2.0, Debuting a brand new and aesthetically designed interface with a number of exciting new features.The personalized restaurant unbiased app, available especially for iphone and ipod touch, anticipates your dining needs and gifts elegant, swipeable recommendation cards that summarize the text you need to quickly find a restaurant you will love.Most notably pandora Pandora UK does for music, ness adapts to your tastes to provide instant tips for you, not the bunch. Ness' new restaurant neutral cards display enticing images to give an immediate sense of each restaurant;Your own own likeness score to show how much ness predicts you will like a place;And an explanation for why ness is making the unbiased.Faster swipes, it's easy to scan the best options and find a great place to go to now, or in for later. Ness adapts not only to your special tastes, but also your position, helping you to quickly adjust are looking to eat.The app is smart enough to separate places that are especially great for specific meals brunch or late night dining intelligently responds to what you're looking for. "We're dedicated in building a service that is deeply personal and intuitive.Technicians different tastes, so ness makes unique ideas for each customer each situation than providing the same results for everyone in every situation, said ceo and co originator corey reese. "Due to ness 2.0, We've built a product that anticipates what you want, Then offers the quickest and easiest way to find restaurants tailored to your tastes.Instead of relying upon reviews from strangers, ness is concerning you, About ness computingness computing's mission is to connect people experiences they'll love.The company uses advanced machine learning manhood recognize patterns in people's preferences, and their first product makes instant restaurant testimonies based on each customer's unique tastes.Ness computing's team has past experiences in applied machine learning, natural language the homepage here canning, collaborative blocking, large scale communities, and mobile software engineering.Ness located in silicon valley.

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