Microsoft has introduced the Graph (SPTAG) and Space Partition Tree algorithm visible to everyone as an open-source GitHub project, applied in its own Bing search engine. The algorithm allows the use of deep learning models and vector search to produce search-based results. It involves SPTAG understanding. The latest surge in advertisements and marketing promotions for Microsoft's new search engine viz., Bing, raises concerns about whether the formulas of the new engine allocate page rank to optimistic websites. It appears to be a skeptic approach if Bing will live up to expectations and become a genuine contender to Google. However, it is worth investigating how the search engines assess Bing in keeping with Google's popularity. Bing doesn't operate the same as Google, where the message of the anchor wouldn't be enough of a problem. Google counts the connection more than it counts the anchor text. Bing works in exactly the opposite way. It counts the text of the anchor more than just the link.

Bing AI is more than just a search engine - it's a powerful AI tool that can transform the way you search for information, learn new things, and even boost your productivity. This comprehensive guide explores the exciting capabilities of Bing AI, from understanding your search intent and providing personalized results to offering creative writing prompts and streamlining research processes. We delve into the ethical considerations of AI development and how Microsoft is committed to responsible AI practices with Bing AI. Discover how Bing AI can be your personalized search assistant, enhance your learning experience, and empower you to create compelling content. Get ready to explore the future of search and unlock the potential of Bing AI!

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.

Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner

Search Engine Optimization: Secrets For 2011 is a book giving up to date information and 100% coverage of all the elements of Search Engine Optimization. Mike Monahan who consults with the best including SEO guru Sean Odom outlines the secrets professionals use themselves and charge thousands of dollars to provide to their customers. These strategies will help anyone optimize their website and dominate the world's leading search engines. The Internet is now the telephone book. So as a business you have to do the equivelent of a full page ad by being at the top of all the major search engines for your keywords. Your website has to stand out in the center of 80+ million other sites. This is the most up-to-date tell-all guide for anyone trying to reach the highly coveted #1 ranking on Google, Bing, Yahoo and any of the other major search engines. Whether you're a search engine optimization expert or new to web site rankings, the techniques revealed in this book will give you everything you need. This is the only guide you need to place your website at the top of the major search engines in 2011!