Teresa Novellino of Upstart reports, “Nara Logics, the Cambridge, Massachusetts-based startup, announced today that it is bringing its technology nationwide in the United States and to 20 cities in Europe, where users can now get personalized recommendations on restaurants and hotels both on the Web and via mobile apps on their smartphones. Founded in 2010 by serial entrepreneur Thomas Copeman and built by MIT neuro- and computer scientist Nathan Wilson, Nara uses a brain-like learning algorithm, or artificial intelligence, to deliver the restaurant and hotel recommendations for specific users. It has trademarked the name of this ability as ‘Digital DNA,’ and the idea behind it is to cut through the irrelevant search results and go straight to the results that perfectly fit the user’s tastes.” Read more
Posts Tagged ‘personalized recommendations’
Nara Neural Networking Dining Personalization Service Goes Mobile, Adds Cities, And Targets New Categories With Partners
Early in the summer, The Semantic Web Blog introduced readers to Nara, an advanced neural networking service to automate, personalize and curate web dining experiences for users. (See that story here.)
The service is moving ahead with the launch today of its mobile version, as well as in other respects. “We’re now doing a full-on consumer launch of a polished product on both the web and mobile [platforms],” says CTO Nathan Wilson. “People really are clamoring for the mobile component, especially for this [dining] use case.” Versions for both the iPhone’s iOS and Android operating systems are available.
Dollars to donuts most folks haven’t ever found a place to eat courtesy of neural networking technology before. Generally, Internet searches for spots to have a bite come courtesy of friends’ Facebook recommendations, services like Yelp, and even some semantically-powered offerings such as BooRah, now an Intuit company.
But the collection of neuroscientists, computer scientists, astrophysicists, and creative artists behind Nara, launching into public beta today, have taken the advanced neural networking route to automate, personalize and curate web dining experiences for users – though there’s more to come on the future menu. President and CEO Tom Copeman says of the company, which in April secured $3.6 million of a $4.5 million equity offering, that its cutting-edge neural network and proprietary and patented algorithms and process for analyzing tons of web data, and personalizing it, including considering user feedback on the suggestions it offers, is creating a whole new category.
That is the pure-play digital lifestyle brand that “creates an emotional connection between us and the Web. We’re trying to change how people think about the web, and from sense of what it means to me, and makes sense to me, and how personal it is to me.”