Group items tagged

"Virtually everywhere one looks we are in the midst of a transition for how we organize and manage information, indeed even relationships. Social networks and online communities are changing how we live and interact. NoSQL and graph databases - married to their near cousin Big Data - are changing how we organize and store information and data. Semantic technologies, backed by their ontologies and RDF data model, are showing the way for how we can connect and interoperate disparate information in ways only dreamed about a decade ago. And all of this, of course, is being built upon the infrastructure of the Internet and the Web, a global, distributed network of devices and information that is undoubtedly one of the most important technological developments in human history. There is a shared structure across all of these developments - the graph. Graphs are proving to be the new universal paradigm for how we organize and manage information. Graphs have an inherently expandable nature, and one which can also capture any existing structure. So, as we see all of the networks, connections, relationships and links - both physical and informational - grow around us, it is useful to step back a bit and contemplate the universal graph structure at the core of these developments. Understanding that we now live in the Age of the Graph means we can begin studying and using the concept of the graph itself to better analyze and manage our interconnected world. Whether we are trying to understand the physical networks of supply chains and infrastructure or the information relationships within ontologies or knowledge graphs, the various concepts underlying graphs and graph theory, themselves expressed through a rich vocabulary of terms, provide the keys for unlocking still further treasures hidden in the structure of graphs."

You know how our social graphs are creeping into every aspect of our web lives, from search results to coupons? Well, get ready for something a lot more personal, a lot more targeted and, perhaps, a lot more creepy. Much as social graphs are maps of our social media connections that follow us across the web, interest graphs are maps of our interests. Some companies want them to follow us across the web, too, meaning that wherever we go, there we are. There'll be no more need to search through news sites for the stories we want, or shopping sites for the products we want, because the site will know as soon as we hit its system who we are and what we like. Whether you're fascinated or appalled by the idea of interest graphs, here's a taste of how they might work.

What do Color, Quora, Hunch, Blippy, and StockTwits have in common? They are examples of companies that generate value for their users by leveraging the concept of the Interest Graph. The list also features some of the most promising startups right now, having raised close to $100 million in venture funding. Pure coincidence?

Since the dawn of companies like Twitter, one question has baffled marketers: How do we demonstrate ROI in our social media strategy? For example, we know that Facebook "likes" don't equal sales. So what's the alternative? Enter the interest graph, which offers a new way to develop connections based on what people like, not who they know. The interest graph also gives marketers the chance to demonstrably generate revenue. Here's how other companies are experimenting in this space and the results.

"NEXT UP: MACHINES THAT UNDERSTAND YOU AND EVERYTHING YOU CARE ABOUT, ANTICIPATE YOUR BEHAVIOR AND EMOTIONS, ABSORB YOUR SOCIAL GRAPH, INTERPRET YOUR INTENTIONS, AND MAKE LIFE, UM, "EASIER.""

Amazon and Apple are massively successful retailers, the envy of digital and brick-and-mortar businesses alike. Currently, the two tech retailers enjoy a place among the biggest, most successful companies in the world. But they have a blind spot. The premises on which they've built their market advantage are now no longer the most important things in digital. They're missing a data asset that would allow them to understand their customers better: the interest graph.

EBay said it will use Hunch's "taste graph" technology to provide its users with non-obvious recommendations for items based on their unique tastes. The company said it will also apply Hunch's technology to other areas such as search, advertising and marketing, in order to better surface product information based on its customers' tastes.

Facebook has acquired friend.ly, developers of a Facebook-integrated website that lets users get to know their friend better by asking them questions about their interests. The friend.ly website will continue to operate, but the team will be "focusing on new projects at Facebook" according to an announcement on friend.ly's blog.

Social networks seemed poised to take over the Web. This year, Facebook reached 800 million users. LinkedIn went public in a blockbuster stock offering. Twitter produced a billion tweets per week. And Google launched its own social network, Google+, attracting 25 million users in one month. Amid the continued growth of these social networks, there has been much excitement about how the rest of the Web would soon be infused with all things "social": social search, social commerce, social deals and more. And yet the effort to socialize the rest of the Web has so far failed to live up to its promise. Why?