Posts Tagged ‘personalized content’

TheNeeds Personalized News App Now on iPhone

theneeds

Sarah Perez of Tech Crunch reports, “Newly launched iOS application TheNeeds is the latest attempt at offering users a better, more personalized news-reading experience with a service that focuses not only on your interests, but also how those interests evolve over time. The app, something of a competitor to the magazine-like Flipboard, or a community site like Reddit, helps to surface the best articles, blog posts, videos, social updates and more, then follows your interactions to see what sorts of things you’re actually reading and engaging with, versus what you’ve more explicitly stated your interests to be.” Read more

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.

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Where To Eat? Let Neural Network Computing Help You Decide

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.”

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Gravity, Latest Project From Former MySpace Execs, Ties Users to Their World of Web Interests

It’s gravity that keeps us tied to earth, and it’s Gravity that seeks to tie us to our personal world of interests on the web. With an executive team founded by MySpace’s Amit Kapur (CEO), Jim Benedetto (CTO), and Steve Pearman, Chief Product Officer, the premise behind Gravity is the building of an interest graph that will make it possible for third-party developers and sites to personalize content – including fully personalized newspapers – and services to you.

Well, you’ve heard the personalized content story before in various ways, shapes and forms, right? Here’s why Gravity expects to be different. “The interest graph is the next filtration device across the Internet, to filter content personalized to me,” says Benedetto. “When I look at the web today I see the web you see….With the amount of information being created that methodology breaks down.” Of course, we can thank the very social networking trend that MySpace, Facebook and Twitter were so instrumental in encouraging for this being the case, not only repeating but exacerbating the web’s pattern almost since its birth of information creation overwhelming the technology available to organize it. Now, Gravity wants to provide the web-scale way, built in consideration of but outside the social graph’s confines, to surface the massive amounts of information across that graph and from the web at large that which is implicitly and automatically personalized to users.

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