Web2.0 Domain Names

The emergence of Web 2.0 is provoking challenging questions for developers: What products and services can our company provide to customers and employees using Rich Internet Applications, mash-ups, Web feeds or Ajax? Which business models are appropriate and how do we implement them? What are best practices and how do we apply them? If you need answers to these and related questions, you need this booka comprehensive and reliable resource that guides you into the emerging and unstructured landscape that is Web 2.0.Gottfried Vossen is a professor of Information Systems and Computer Science at the University of Muenster in Germany. He is the European Editor-in-Chief of Elseviers Information SystemsAn International Journal. Stephan Hagemann is a PhD. Student in Gottfrieds research group focused on Web technologies.* Presents a complete view of Web 2.0 including services and technologies* Discusses potential new products and services and the technology and programming ability needed to realize them* Offers how to basics presenting development frameworks and best practices* Compares and contrasts Web 2.0 with the Semantic Web

Web 2.0 makes headlines, but how does it make money? This concise guide explains what's different about Web 2.0 and how those differences can improve your company's bottom line. Whether you're an executive plotting the next move, a small business owner looking to expand, or an entrepreneur planning a startup, Web 2.0: A Strategy Guide illustrates through real-life examples how businesses, large and small, are creating new opportunities on today's Web. This book is about strategy. Rather than focus on the technology, the examples concentrate on its effect. You will learn that creating a Web 2.0 business, or integrating Web 2.0 strategies with your existing business, means creating places online where people like to come together to share what they think, see, and do. When people come together over the Web, the result can be much more than the sum of the parts. The customers themselves help build the site, as old-fashioned "word of mouth" becomes hypergrowth.Web 2.0: A Strategy Guide demonstrates the power of this new paradigm by examining how: Flickr, a classic user-driven business, created value for itself by helping users create their own value Google made money with a model based on free search, and changed the rules for doing business on the Web-opening opportunities you can take advantage ofSocial network effects can support a business-ever wonder how FaceBook grew so quickly?Businesses like Amazon tap into the Web as a source of indirect revenue, using creative new approaches to monetize the investments they've made in the Web Written by Amy Shuen, an authority on Silicon Valley business models and innovation economics, Web 2.0: A Strategy Guide explains how to transform your business by looking at specific practices for integrating Web 2.0 with what you do. If you're executing business strategy and want to know how the Web is changing business, this book is for you.

Web 2.0 is impacting nearly everyone doing modern web development. People know they need to understand what Web 2.0 is and why it is important. This book presents a candid look at Web 2.0. It provides perspectives and insights from industry leaders and industry leading companies. It presents the information from these innovators in a first person perspective in the format of interviews. The reader will learn about Web 2.0 from industry experts while obtaining in insights into where the experts and leading companies see Web 2.0 going in the future. Interviews include: eBay Microsoft Sun Microsystems Adobe/Macromedia YouSendIt IBM Bloglines Ning Technorati Zoho Richard MacManus: Web 2.0 WorkGroup & Read/Write Web ThinkFree To name a few...

Mobilizing Generation 2.0 is a practical and immediately useful guide for nonprofits, political campaigns, organizers, and individuals who want to better understand how to use Web 2.0 technologies. In easy-to-understand terms, this accessible book describes how readers can leverage new media—blogs, online social networking, photo- and video-sharing sites, mobile phones, wikis, online maps, and virtual worlds—to recruit, engage, and mobilize young people.

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in adataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect