Search (7 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

Inhalt: Chapter 1. Introduction to Web Search Engines: 1.1 A Short History of Information Retrieval - 1.2 An Overview of Traditional Information Retrieval - 1.3 Web Information Retrieval Chapter 2. Crawling, Indexing, and Query Processing: 2.1 Crawling - 2.2 The Content Index - 2.3 Query Processing Chapter 3. Ranking Webpages by Popularity: 3.1 The Scene in 1998 - 3.2 Two Theses - 3.3 Query-Independence Chapter 4. The Mathematics of Google's PageRank: 4.1 The Original Summation Formula for PageRank - 4.2 Matrix Representation of the Summation Equations - 4.3 Problems with the Iterative Process - 4.4 A Little Markov Chain Theory - 4.5 Early Adjustments to the Basic Model - 4.6 Computation of the PageRank Vector - 4.7 Theorem and Proof for Spectrum of the Google Matrix Chapter 5. Parameters in the PageRank Model: 5.1 The a Factor - 5.2 The Hyperlink Matrix H - 5.3 The Teleportation Matrix E Chapter 6. The Sensitivity of PageRank; 6.1 Sensitivity with respect to alpha - 6.2 Sensitivity with respect to H - 6.3 Sensitivity with respect to vT - 6.4 Other Analyses of Sensitivity - 6.5 Sensitivity Theorems and Proofs Chapter 7. The PageRank Problem as a Linear System: 7.1 Properties of (I - alphaS) - 7.2 Properties of (I - alphaH) - 7.3 Proof of the PageRank Sparse Linear System Chapter 8. Issues in Large-Scale Implementation of PageRank: 8.1 Storage Issues - 8.2 Convergence Criterion - 8.3 Accuracy - 8.4 Dangling Nodes - 8.5 Back Button Modeling
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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Abstract

This is a practical tool and comprehensive introduction to the use of controlled vocabularies. This authoritative and detailed volume presents readers with a 'how-to' guide to building controlled vocabulary tools, cataloguing and indexing cultural materials with terms and names from controlled vocabularies, and how to use vocabularies in search engines and databases to enhance discovery and retrieval online. "Introduction to Controlled Vocabularies" also features in-depth discussions on a number of topics, including: What are controlled vocabularies and why are they useful? Which vocabularies exist for cataloguing art and cultural objects? and how should they be used for indexing and retrieving? This book provides organizations and individuals with a practical tool for creating and implementing vocabularies as reference tools, sources of documentation, and powerful enhancements for online searching.

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Abstract

A system of library classification that flashed across the inquiring mind of young Melvil Louis Kossuth Dewey (known as Melvil Dewey) in 1873 is still the most popular classification scheme.. The modern library classification begins with Dewey Decimal Classification (DDC). Melvil Dewey devised DDC in 1876. DDC has is credit of 128 years of boudless success. The DDC is being taught as a practical subject throughout the world and it is being used in majority of libraries in about 150 countries. This is the result of continuous revision that 22nd Edition of DDC has been published in July 2003. No other classification scheme has published so many editions. Some welcome changes have been made in DDC 22. To reduce the Christian bias in 200 religion, the numbers 201 to 209 have been devoted to specific aspects of religion. In the previous editions these numbers were devoted to Christianity. to enhance the classifier's efficiency, Table 7 has been removed from DDC 22 and the provision of adding group of persons is made by direct use of notation already available in schedules and in notation -08 from Table 1 Standard Subdivision. The present book is an attempt to explain, with suitable examples, the salient provisions of DDC 22. The book is written in simple language so that the students may not face any difficulty in understanding what is being explained. The examples in the book are explained in a step-by-step procedure. It is hoped that this book will prove of great help and use to the library professionals in general and library and information science students in particular.

Content

1. Introduction to DDC 22 2. Major changes in DDC 22 3. Introduction to the schedules 4. Use of Table 1 : Standard Subdivisions 5. Use of Table 2 : Areas 6. Use of Table 3 : Subdivisions for the arts, for individual literatures, for specific literary forms 7. Use to Table 4 : Subdivisions of individual languages and language families 8. Use of Table 5 : Ethic and National groups 9. Use of Table 6 : Languages 10. Treatment of Groups of Persons

Object

DDC-22

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Date

22. 3.2008 18:09:52

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Date

28. 2.2008 17:22:52

Object

DDC-22

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Date

22. 6.2008 13:03:30

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Date

15. 7.2018 16:22:16

Footnote

Rez. in: Mitteilungen VÖB 48(1995) H.1, S.66-68 (K. Niedermair) - Vgl. auch Lepsky, K. in: Bibliotheksdienst 29(1995) H.3, S.500-519; Bibliothek: Forschung u. Praxis 19(1995) H.2, S.251-254 (G. Hartwieg; auch in: LDV-Forum Bd. 12, Nr. 2, Jg. 1995, S.22-29 [unter: http://www.jlcl.org/1995_Heft2/Rezensionen_19-27.pdf]) .