Book description
This book is a second edition, updated and expanded to explain the technologies that help us find information on the web. Search engines and web navigation tools have become ubiquitous in our day to day use of the web as an information source, a tool for commercial transactions and a social computing tool. Moreover, through the mobile web we have access to the web's services when we are on the move. This book demystifies the tools that we use when interacting with the web, and gives the reader a detailed overview of where we are and where we are going in terms of search engine and web navigation technologies.
Table of contents
- Copyright
- Preface
- 1. INTRODUCTION
-
2. THE WEB AND THE PROBLEM OF SEARCH
- 2.1. CHAPTER OBJECTIVES
- 2.2. SOME STATISTICS
- 2.3. TABULAR DATA VERSUS WEB DATA
- 2.4. STRUCTURE OF THE WEB
- 2.5. INFORMATION SEEKING ON THE WEB
- 2.6. INFORMATIONAL, NAVIGATIONAL, AND TRANSACTIONAL QUERIES
- 2.7. COMPARING WEB SEARCH TO TRADITIONAL INFORMATION RETRIEVAL
- 2.8. LOCAL SITE SEARCH VERSUS GLOBAL WEB SEARCH
- 2.9. DIFFERENCE BETWEEN SEARCH AND NAVIGATION
- 2.10. CHAPTER SUMMARY
- 2.11. EXERCISES
-
3. THE PROBLEM OF WEB NAVIGATION
- 3.1. CHAPTER OBJECTIVES
- 3.2. GETTING LOST IN HYPERSPACE AND THE NAVIGATION PROBLEM
- 3.3. HOW CAN THE MACHINE ASSIST IN USER SEARCH AND NAVIGATION
- 3.4. TRAILS SHOULD BE FIRST CLASS OBJECTS
- 3.5. ENTER MARKOV CHAINS AND TWO INTERPRETATIONS OF ITS PROBABILITIES
- 3.6. CONFLICT BETWEEN WEB SITE OWNER AND VISITOR
- 3.7. CONFLICT BETWEEN SEMANTICS OF WEB SITE AND THE BUSINESS MODEL
- 3.8. CHAPTER SUMMARY
- 3.9. EXERCISES
-
4. SEARCHING THE WEB
- 4.1. CHAPTER OBJECTIVES
- 4.2. MECHANICS OF A TYPICAL SEARCH
- 4.3. SEARCH ENGINES AS INFORMATION GATEKEEPERS OF THE WEB
- 4.4. SEARCH ENGINE WARS, IS THE DUST SETTLING?
- 4.5. STATISTICS FROM STUDIES OF SEARCH ENGINE QUERY LOGS
- 4.6. ARCHITECTURE OF A SEARCH ENGINE
- 4.7. CRAWLING THE WEB
- 4.8. WHAT DOES IT TAKE TO DELIVER A GLOBAL SEARCH SERVICE?
- 4.9. CHAPTER SUMMARY
- 4.10. EXERCISES
-
5. HOW DOES A SEARCH ENGINE WORK
- 5.1. CHAPTER OBJECTIVES
-
5.2. CONTENT RELEVANCE
- 5.2.1. Processing Web Pages
- 5.2.2. Interpreting the Query
- 5.2.3. Term Frequency
- 5.2.4. Inverse Document Frequency
- 5.2.5. Computing Keyword TF–IDF Values
- 5.2.6. Caching Queries
- 5.2.7. Phrase Matching
- 5.2.8. Synonyms
- 5.2.9. Link Text
- 5.2.10. URL Analysis
- 5.2.11. Date Last Updated
- 5.2.12. HTML Structure Weighting
- 5.2.13. Spell Checking
- 5.2.14. Non-English Queries
- 5.2.15. Home Page Detection
- 5.2.16. Related Searches and Query Suggestions
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5.3. LINK-BASED METRICS
- 5.3.1. Referential and Informational Links
- 5.3.2. Combining Link Analysis with Content Relevance
- 5.3.3. Are Links the Currency of the Web?
- 5.3.4. PageRank Explained
- 5.3.5. Online Computation of PageRank
- 5.3.6. Monte Carlo Methods in PageRank Computation
- 5.3.7. Hyperlink-Induced Topic Search
- 5.3.8. Stochastic Approach for Link-Structure Analysis
- 5.3.9. Counting Incoming Links
- 5.3.10. The Bias of PageRank against New Pages
- 5.3.11. PageRank within a Community
- 5.3.12. Influence of Weblogs on PageRank
- 5.3.13. Link Spam
- 5.3.14. Citation Analysis
- 5.3.15. The Wide Ranging Interest in PageRank
- 5.4. POPULARITY-BASED METRICS
- 5.5. EVALUATING SEARCH ENGINES
- 5.6. CHAPTER SUMMARY
- 5.7. EXERCISES
- 6. DIFFERENT TYPES OF SEARCH ENGINES
-
7. NAVIGATING THE WEB
- 7.1. CHAPTER OBJECTIVES
- 7.2. FRUSTRATION IN WEB BROWSING AND NAVIGATION
- 7.3. NAVIGATION TOOLS
- 7.4. NAVIGATIONAL METRICS
-
7.5. WEB DATA MINING
- 7.5.1. Three Perspectives on Data Mining
- 7.5.2. Measuring the Success of a Web Site
- 7.5.3. Web Analytics
- 7.5.4. E-Metrics
- 7.5.5. Web Analytics Tools
- 7.5.6. Weblog File Analyzers
- 7.5.7. Identifying the Surfer
- 7.5.8. Sessionizing
- 7.5.9. Supplementary Analyses
- 7.5.10. Markov Chain Model of Web Site Navigation
- 7.5.11. Applications of Web Usage Mining
- 7.5.12. Information Extraction
- 7.6. THE BEST TRAIL ALGORITHM
- 7.7. VISUALIZATION THAT AIDS NAVIGATION
- 7.8. NAVIGATION IN VIRTUAL AND PHYSICAL SPACES
- 7.9. CHAPTER SUMMARY
- 7.10. EXERCISES
- 8. THE MOBILE WEB
-
9. SOCIAL NETWORKS
- 9.1. CHAPTER OBJECTIVES
- 9.2. WHAT IS A SOCIAL NETWORK?
- 9.3. SOCIAL NETWORK ANALYSIS
- 9.4. PEER-TO-PEER NETWORKS
-
9.5. COLLABORATIVE FILTERING
- 9.5.1. Amazon.com
- 9.5.2. Collaborative Filtering Explained
- 9.5.3. User-Based Collaborative Filtering
- 9.5.4. Item-Based Collaborative Filtering
- 9.5.5. Model-Based Collaborative Filtering
- 9.5.6. Content-Based Recommendation Systems
- 9.5.7. Evaluation of Collaborative Filtering Systems
- 9.5.8. Scalability of Collaborative Filtering Systems
- 9.5.9. A Case Study of Amazon.co.uk
- 9.5.10. The Netflix Prize
- 9.5.11. Some Other Collaborative Filtering Systems
- 9.6. WEBLOGS (BLOGS)
-
9.7. POWER-LAW DISTRIBUTIONS IN THE WEB
- 9.7.1. Detecting Power-Law Distributions
- 9.7.2. Power-Law Distributions in the Internet
- 9.7.3. A Law of Surfing and a Law of Participation
- 9.7.4. The Evolution of the Web via Preferential Attachment
- 9.7.5. The Evolution of the Web as a Multiplicative Process
- 9.7.6. The Evolution of the Web via HOT
- 9.7.7. Small-World Networks
- 9.7.8. The Robustness and Vulnerability of a Scale-Free Network
- 9.8. SEARCHING IN SOCIAL NETWORKS
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9.9. SOCIAL TAGGING AND BOOKMARKING
- 9.9.1. Flickr—Sharing Your Photos
- 9.9.2. YouTube—Broadcast Yourself
- 9.9.3. Delicious for Social Bookmarking
- 9.9.4. Communities Within Content Sharing Sites
- 9.9.5. Sharing Scholarly References
- 9.9.6. Folksonomy
- 9.9.7. Tag Clouds
- 9.9.8. Tag Search and Browsing
- 9.9.9. The Efficiency of Tagging
- 9.9.10. Clustering and Classifying Tags
- 9.10. OPINION MINING
- 9.11. WEB 2.0 AND COLLECTIVE INTELLIGENCE
- 9.12. CHAPTER SUMMARY
- 9.13. EXERCISES
- 10. THE FUTURE OF WEB SEARCH AND NAVIGATION
-
BIBLIOGRAPHY
Product information
- Title: An Introduction to Search Engines and Web Navigation
- Author(s):
- Release date: October 2010
- Publisher(s): Wiley
- ISBN: 9780470526842
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