Search (4 results, page 1 of 1)

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Abstract

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. It includes: many illustrative examples and entertaining asides; MATLAB code; accessible and informal style; and complete and self-contained section for mathematics review.

Content

Chapter 9. Accelerating the Computation of PageRank: 9.1 An Adaptive Power Method - 9.2 Extrapolation - 9.3 Aggregation - 9.4 Other Numerical Methods Chapter 10. Updating the PageRank Vector: 10.1 The Two Updating Problems and their History - 10.2 Restarting the Power Method - 10.3 Approximate Updating Using Approximate Aggregation - 10.4 Exact Aggregation - 10.5 Exact vs. Approximate Aggregation - 10.6 Updating with Iterative Aggregation - 10.7 Determining the Partition - 10.8 Conclusions Chapter 11. The HITS Method for Ranking Webpages: 11.1 The HITS Algorithm - 11.2 HITS Implementation - 11.3 HITS Convergence - 11.4 HITS Example - 11.5 Strengths and Weaknesses of HITS - 11.6 HITS's Relationship to Bibliometrics - 11.7 Query-Independent HITS - 11.8 Accelerating HITS - 11.9 HITS Sensitivity Chapter 12. Other Link Methods for Ranking Webpages: 12.1 SALSA - 12.2 Hybrid Ranking Methods - 12.3 Rankings based on Traffic Flow Chapter 13. The Future of Web Information Retrieval: 13.1 Spam - 13.2 Personalization - 13.3 Clustering - 13.4 Intelligent Agents - 13.5 Trends and Time-Sensitive Search - 13.6 Privacy and Censorship - 13.7 Library Classification Schemes - 13.8 Data Fusion Chapter 14. Resources for Web Information Retrieval: 14.1 Resources for Getting Started - 14.2 Resources for Serious Study Chapter 15. The Mathematics Guide: 15.1 Linear Algebra - 15.2 Perron-Frobenius Theory - 15.3 Markov Chains - 15.4 Perron Complementation - 15.5 Stochastic Complementation - 15.6 Censoring - 15.7 Aggregation - 15.8 Disaggregation

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Date

22. 3.2008 14:24:08

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Footnote

Rez. in: Online-Mitteilungen 2006, Nr.87, S.21-22 (M. Buzinkay):"Web 2.0 ist in aller Munde, Social Software und interaktive Web-Anwendungen boomen. Welche Technologie steckt dahinter, und wie lässt sich diese für individuelle Zwecke einsetzen? Diese Frage beantwortet Johannes Gamperl in "AJAX. Web 2.0 in der Praxis", weiches im Galileo Verlag erschienen ist. Das Zauberwort hinter Web 2.0 heißt AJAX. AJAX heißt "asynchron javascript and xml" und deutet an, woraus diese neue Programmier-Technik besteht: aus bereits vorhandenen und gut eingeführten Sprachen wie JavaScript und XML. Die Grundlagen sind nicht neu, doch die kreative Art ihrer Verwendung macht sie zur Zukunftstechnologie im Web schlechthin. Mit AJAX lassen sich Daten im Hintergrund und ohne ein neuerliches Laden einer Webseite übertragen. Das hat wesentliche Vorteile, denn so können Webseiten fortlaufend und interaktiv aktualisiert werden. Die Hauptbestandteile von AJAX sind neben XML und Javascript noch Cascading Style Sheets, das Document Object Model und XHTML. Das Buch vermittelt auf rund 400 Seiten Einblicke in die fortgeschrittene JavaScript Programmierung im Hinblick auf AJAX und das Web. Schritt für Schritt werden Beispiele aufgebaut, Techniken erläutert und eigene Kreationen gefördert. Allerdings ist das Buch kein Einsteigerbuch. Es wendet sich dezidiert an Programmierer, die über entsprechende Erfahrung mit JavaScript und XML verfügen. Die Kernthemen des Buches beinhalten - die Grundlagen des Document Object Model - die dynamische Bearbeitung von StyleSheet Angaben - den Zugriff auf XML-Daten über JavaScript - die Einführung in die Client/Server-Kommunikation - diverse JavaScript Bibliotheken Ergänzt werden diese Themen durch eine Reihe von Anwendungsbeispielen, die übersichtlich entwickelt und beschrieben werden. Eine CD mit dem Code liegt dem Buch bei. Weitere Unterstützung bieten diverse WebQuellen des Verlags und des Autors. Bekannte Beispiele für in AJAX programmierte Anwendungen sind Google Maps und Yahoo! Maps. Diese interaktiven Landkarten ermöglichen ein Heranzoomen, ein Sich-Bewegen auf Landkarten über Geo-Positioning; Satellitenbilder können eingeblendet werden. Über eine Schnittstelle (API) können externe Entwickler weitere Anwendungen auf Basis dieser Karten entwickeln, so z.B. ein Tankstellen-Netz mit den aktuellen Spritpreisen oder nutzergenerierten Reiserouten inklusive Entfernungsmessung."

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Abstract

As web users become more savvy and demanding, libraries are encouraging patrons to help keep library websites dynamically and collaboratively up-to-date. According to Engard, mashups - web applications that combine freely available data from various sources to create something new - can help libraries meet patrons' expectations and provide superior web-based service. In the book, Engard and 25 contributors present numerous practical and innovative examples.