Google S Pagerank And Beyond

Autor: Amy N. Langville
Publisher: Princeton University Press
ISBN: 140083032X
File Size: 12,43 MB
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Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book ever about the science of web page rankings, Google's PageRank and Beyond supplies the answers to these and other questions and more. The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research. The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text. Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided. Many illustrative examples and entertaining asides MATLAB code Accessible and informal style Complete and self-contained section for mathematics review

Who S 1

Autor: Amy N. Langville
Publisher: Princeton University Press
ISBN: 1400841674
File Size: 71,12 MB
Format: PDF, ePub, Docs
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A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems. The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.

Beyond Bibliometrics

Autor: Blaise Cronin
Publisher: MIT Press
ISBN: 0262026791
File Size: 48,93 MB
Format: PDF
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A comprehensive, state-of-the-art examination of the changing ways we measure scholarly performance and research impact.

Nine Algorithms That Changed The Future

Autor: John MacCormick
Publisher: Princeton University Press
ISBN: 1400839564
File Size: 58,83 MB
Format: PDF, Mobi
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Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

Understanding Search Engines

Autor: Michael W. Berry
Publisher: Cambridge University Press
ISBN: 9780898715811
File Size: 20,40 MB
Format: PDF, ePub
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This text covers design issues for building search engines, emphasizing the role that applied mathematics plays in improving information retrieval.

Deep Search

Autor: Konrad Becker
Publisher: Strange Chemistry
ISBN: 9783706547956
File Size: 64,17 MB
Format: PDF, ePub
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Deep Search collects 13 texts which investigate the social and political dimensions of how we navigate the deep seas of knowledge. What do we win, and what do we lose when we move from an analogue to a digital information order? How is computer readable significance produced, how is meaning involved in machine communication? Where is the potential of having access to such vast amounts of information? What are the dangers of our reliance on search engines and are there any approaches that do not follow the currently dominating paradigm of Google? This volume answers these questions of culture, context and classification regarding information systems that should not be ignored.

Encyclopedia Of American Immigration Abolitionist Movement

Autor: Carl Leon Bankston
Publisher: Salem PressInc
ISBN: 9781587656002
File Size: 22,71 MB
Format: PDF, Mobi
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This three-volume set covers the full breadth of American immigration history in 525 alphabetically arranged and easy-to-understand articles. Designed and written to be understood by high school students and college undergraduates Encyclopedia of American Immigration offers a clear and innovative approach to immigration history that can also be used by advanced students and scholars. The goal of the set is to address all questions about immigration that students might reasonably be expected to ask: Where immigrants have come from and why; how they have adapted to their new homeland; how they have contributed to American culture and society; how government policies toward them have changed; and how American immigration history has fit into worldwide migration patterns. - Publisher.

Computing With Social Trust

Autor: Jennifer Golbeck
Publisher: Springer-Verlag New York Incorporated
File Size: 16,30 MB
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'Trust' is used in a variety of ways in computing literature, and social trust is emerging as an important computational problem. In open, distributed systems, like the web, people and organizations can be anonymous and trust and reputation become important. Computing with Social Trust brings together a collection of important work in computing social trust from computer science and related disciplines. It is divided into three major sections. The first addresses theory, behaviour, and trust management, covering social analyses of how people develop trust, the dynamics of trust relationships, and systems for trust management. The second section describes algorithms and methods for computing trust in social contexts. Social networks, profile similarity, and participation in online communities are all potential sources from which trust can be computed. The final section contains applications that use trust, such as recommender systems, website access control, and email filtering.