Rick Delgado of Tech Cocktail reports, “The one thing most businesses strive for is to make sure their customers are happy.In the past, the approach to this was fairly simple, engaging the customer through cheerful face-to-face interaction and seeing to all their needs personally. But as technology advances, more and more business dealings are taking place online, away from the face-to-face model that served so well for years. Many businesses are now turning to machine learning as the solution to improve customer interaction.” Read more
Posts Tagged ‘personalization’
Former Personalized Media CEO Rajiv Salimath hosts a launch party March 1 for his latest venture, Haggle. What Haggle’s about, he says, is letting people use their own data to show venues – starting with restaurants – how they’re a valuable customer, and turn that to their purchasing advantage.
Users can apply today for their shot at getting personalized pricing via the Haggle mobile app through realtime digital interactions with businesses that have also signed onto the platform. By launch that should include some 75 restaurants in New York, with the goal of hitting 100 to 150 there and another 150 in the San Francisco area in the spring.
How it works, Salimath says, is that users give the app access to their social data, which it crunches and gives back to them. “We take all your social and digital data and convert it to real-world metrics that matter,” he says. “We give you the data to negotiate with businesses.” It calculates four scores including social influence, loyalty to a particular spot, history of going to places of that type generally (seafood restaurants, for instance), and purchasing power, and based on those scores a screen swipe for the locale reveals the personalized discount that venue is willing to give the user – which he or she may attempt to further negotiate online. All the user needs to do is show the screen to the wait staff for the discount to be applied to the bill.
Tom Simonite of the MIT Technology Review recently wrote, “For all its success, Google’s famous Page Rank algorithm has never understood a word of the billions of Web pages it has directed people to over the years. That’s why in 2010 Google acquired Metaweb, a company building a database intended to give computers the ability to understand the world. Two years later the company’s technology resurfaced as the Knowledge Graph. John Giannandrea, vice president of engineering at Google and a Metaweb cofounder, says that will lead to Google’s future products being able to truly understand the people who use them and the things they care about. He told MIT Technology Review’s Tom Simonite how a data store designed to link together all the knowledge on Earth might do that.” Read more
Picking up from where we left off yesterday, we continue exploring where 2014 may take us in the world of semantics, Linked and Smart Data, content analytics, and so much more.
Marco Neumann, CEO and co-founder, KONA and director, Lotico: On the technology side I am personally looking forward to make use of the new RDF1.1 implementations and the new SPARQL end-point deployment solutions in 2014 The Semantic Web idea is here to stay, though you might call it by a different name (again) in 2014.
Bill Roberts, CEO, Swirrl: Looking forward to 2014, I see a growing use of Linked Data in open data ‘production’ systems, as opposed to proofs of concept, pilots and test systems. I expect good progress on taking Linked Data out of the hands of specialists to be used by a broader group of data users.
As we prepare to greet the New Year, we take a look back at the year that was. Some of the leading voices in the semantic web/Linked Data/Web 3.0 and sentiment analytics space give us their thoughts on the highlights of 2013.
Phil Archer, Data Activity Lead, W3C:
The completion and rapid adoption of the updated SPARQL specs, the use of Linked Data (LD) in life sciences, the adoption of LD by the European Commission, and governments in the UK, The Netherlands (NL) and more [stand out]. In other words, [we are seeing] the maturation and growing acknowledgement of the advantages of the technologies.
I contributed to a recent study into the use of Linked Data within governments. We spoke to various UK government departments as well as the UN FAO, the German National Library and more. The roadblocks and enablers section of the study (see here) is useful IMO.
Bottom line: Those organisations use LD because it suits them. It makes their own tasks easier, it allows them to fulfill their public tasks more effectively. They don’t do it to be cool, and they don’t do it to provide 5-Star Linked Data to others. They do it for hard headed and self-interested reasons.
Christine Connors, founder and information strategist, TriviumRLG:
What sticks out in my mind is the resource market: We’ve seen more “semantic technology” job postings, academic positions and M&A activity than I can remember in a long time. I think that this is a noteworthy trend if my assessment is accurate.
There’s also been a huge increase in the attentions of the librarian community, thanks to long-time work at the Library of Congress, from leading experts in that field and via schema.org.
Nara is officially on its way from being solely a consumer-lifestyle brand – with its neural networking technology helping users find dining and hotel experiences that match their tastes – to also being the power behind other companies’ recommendation and curation offerings. This summer it made a deal with Singapore Communications’ Singtel Digital Life Division to use its technology to help their users hone in on personalized eating options, and today that online food and dining guide, HungryGoWhereMalysia, goes live.
But Singtel won’t be the only outside party to plug into Nara’s backbone, as the company today also is announcing that it is licensing its capabilities to other parties interested in leveraging them. “An enterprise can plug into our neural network in the cloud through our API,” says CEO Tom Copeman, accessing its smarts for analyzing and then personalizing tons of data from anywhere on the web, tailored to the type of service they’d like to offer.
HungryGoWhereMalaysia, for example, is much like Nara for personalized restaurant discovery here in the states, except culturally branded to their markets; local consumers will get tailored list of dining recommendations from over 35,000 restaurants throughout the country, and as the service gets to know them better, suggestions will be more finely honed to match their Digital DNA profiles. “We believe we’re the first in computer science to receive third-party data from outside sources through our API into our neural network, to make the calculations and comparisons, and send back down a more organized, personalized and targeted selections based on individual preferences.”
ANDOVER, MA–(Marketwired – Oct 7, 2013) - Veveo, a leading provider of semantic technologies to bridge the usability gap in connected devices and applications with intelligent search, discovery and personalization solutions, announced today that it has been awarded a new patent in the field of personalized recommendations by the United States Patent and Trademark Office (USPTO). This marks the tenth patent awarded to Veveo this year and brings its total count of issued patents to 42. Read more
Frederic Filloux of The Guardian recently wrote, “Serendipity always seemed inseparable from journalism. For any media product, taking readers away from their main centre of interest is part of the fabric. I go on a website for a morning update and soon find myself captured by crafty editing that will drive me to read up on a subject that was, until now, alien to me. That’s the beauty of a great news package. Or is it still the case? Isn’t it a mostly generational inclination? Does a Gen Y individual really care about being drawn to a science story when getting online to see sports results? Several elements concur to the erosion of serendipity and, more generally, curiosity. First, behaviour among digital readers is evolving. It extend far beyond generations: Regardless of his or her age, today’s reader is short on time… Second, the old ‘trusted news brand’ notion is going away. Young people can’t be bothered to leaf though several titles to get their feed of a variety of topics; that’s why aggregators thrive.” Read more
Nara, the service that to date has leveraged its neural networking technology to automate, personalize and curate web dining experiences for users, is making good on its previously-stated intentions to help users find and take action across various consumer lifestyle categories. (See our original story on the company here.)
The company today is adding personalized hotel recommendations to its portfolio. Consumers now will be able to find hotels conforming to their’ “Digital DNA” – the sum of what its technology learns of what they do and don’t like – in 50 high-volume cities in the U.S. and Canada. It’s entered into a non-exclusive partnership with Expedia to take care of booking on the back-end and TripAdvisor for its reviews, with both capabilities available to users without their having to leave the Nara site. The company expects to add additional locations in North America in the future, as it did for its restaurant recommendations.
News360 recently launched a “reimagined edition of its popular free newsreading app to iPhones everywhere. First unveiled for iPads and Android tablets in July, the new edition of News360 boasts a completely redesigned interface that’s as beautiful as it is smart, revamped personalization technology that learns from your every move online and in the app, and deeper customization options that empower you to make the newsreading experience your own. These overhauls have earned high marks from users, reviewers and publishers alike and have delivered on the promise of keeping you well-informed about the most important, personally relevant news of the day.” Read more
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