An introduction to search engines and web navigation:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Wiley
2010
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 478 S. Ill., graph. Darst. |
| ISBN: | 9780470526842 |
Internformat
MARC
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|---|---|---|---|
| 001 | BV036856365 | ||
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| 008 | 101207s2010 xxuad|| |||| 00||| eng d | ||
| 010 | |a 2010008435 | ||
| 020 | |a 9780470526842 |c pbk. |9 978-0-470-52684-2 | ||
| 035 | |a (OCoLC)695942545 | ||
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| 040 | |a DE-604 |b ger |e aacr | ||
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| 100 | 1 | |a Levene, Mark |d 1957- |e Verfasser |0 (DE-588)120507978 |4 aut | |
| 245 | 1 | 0 | |a An introduction to search engines and web navigation |c Mark Levene |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Oxford |b Wiley |c 2010 | |
| 300 | |a XIX, 478 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Internet searching | |
| 650 | 4 | |a Web search engines | |
| 650 | 0 | 7 | |a Online-Recherche |0 (DE-588)4115449-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Suchmaschine |0 (DE-588)4423007-2 |2 gnd |9 rswk-swf |
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| 942 | 1 | 1 | |c 020 |e 22/bsb |f 090511 |
Datensatz im Suchindex
| _version_ | 1804143553483374592 |
|---|---|
| adam_text | CONTENTS
PREFACE
LIST OF
FIGURES
chapter
1
INTRODUCTION
1.1
Brief Summary of Chapters
2
1.2
Brief History of Hypertext and the Web
з
1.3
Brief History of Search Engines
6
chapter
2
THE WEB AND THE PROBLEM OF SEARCH
9
2.1
Some Statistics
ю
2.1.1
Web Size Statistics
io
2.1.2
Web Usage Statistics
15
2.2
Tabular Data Versus Web Data
18
2.3
Structure of the Web
20
2.3.1
Bow-Tie Structure of the Web
21
2.3.2
Small-World Structure of the Web
23
2.4
Information Seeking on the Web
24
2.4.1
Direct Navigation
24
2.4.2
Navigation within a Directory
25
2.4.3
Navigation using a Search Engine
26
2.4.4
Problems with Web Information Seeking
27
2.5
Informational, Navigational, and Transactional Queries
28
2.6
Comparing Web Search to Traditional Information Retrieval
29
2.6.1
Recall and Precision
зо
2.7
Local Site Search Versus Global Web Search
32
2.8
Difference Between Search and Navigation
34
chapter
3
THE PROBLEM OF WEB NAVIGATION
38
3.1
Getting Lost in Hyperspace and the Navigation Problem
39
3.2
How Can the Machine Assist in User Search and Navigation
42
3.2.1
The Potential Use of Machine Learning Algorithms
42
3.2.2
The Naive
Bayes
Classifier for Categorizing Web Pages
43
3.3
Trails Should be First Class Objects
46
3.4
Enter Markov Chains and Two Interpretations of Its Probabilities
49
3.4.1
Markov Chains and the Markov Property
49
3.4.2
Markov Chains and the Probabilities of Following Links
50
3.4.3
Markov Chains and the Relevance of Links
52
VII
VIII CONTENTS
3.5
Conflict Between Web Site Owner and Visitor
54
3.6
Conflict Between Semantics of Web Site and the Business Model
57
chapter
4
SEARCHING THE WEB
________________________________________60
4.1
Mechanics of a Typical Search
61
4.2
Search Engines as Information Gatekeepers of the Web
64
4.3
Search Engine Wars, is the Dust Settling?
68
4.3.1
Competitor Number One: Google
69
4.3.2
Competitor Number Two: Yahoo
70
4.3.3
Competitor Number Three:
Bing
70
4.3.4
Other Competitors
72
4.4
Statistics from Studies of Search Engine Query Logs
73
4.4.1
Search Engine Query Logs
73
4.4.2
Search Engine Query Syntax
75
4.4.3
The Most Popular Search Keywords
77
4.5
Architecture of a Search Engine
78
4.5.1
The Search Index
79
4.5.2
The Query Engine
80
4.5.3
The Search Interface
81
4.6
Crawling the Web
81
4.6.1
Crawling Algorithms
82
4.6.2
Refreshing Web Pages
84
4.6.3
The Robots Exclusion Protocol
84
4.6.4
Spider Traps
85
4.7
What Does it Take to Deliver a Global Search Service?
85
chapter
5
HOW DOES A SEARCH ENGINE WORK
________________________
91
5.1
Content Relevance
94
5.1.1
Processing Web Pages
94
5.1.2
Interpreting the Query
96
5.1.3
Term Frequency
96
5.1.4
Inverse Document Frequency
99
5.1.5
Computing Keyword TF-IDF Values ioo
5.1.6
Caching Queries
102
5.1.7
Phrase Matching
102
5.1.8
Synonyms
102
5.1.9
Link Text
юз
5.1.10
URL Analysis
104
5.1.11
Date Last Updated
104
5.1.12
HTML Structure Weighting
104
5.1.13
Spell Checking
105
5.1.14
Non-English Queries
106
5.1.15
Home Page Detection
107
5.1.16
Related Searches and Query Suggestions
107
5.2
Link-Based Metrics 108
5.2.1
Referential and Informational Links
109
5.2.2
Combining Link Analysis with Content Relevance
110
5.2.3
Are Links the Currency of the Web?
110
CONTENTS
IX
5.2.4 PageRank
Explained
112
5.2.5 Online
Computation of
PageRank
ііб
5.2.6 Monte Carlo
Methods in
PageRank
Computation
ііб
5.2.7
Hyperlink-Induced Topic Search
117
5.2.8
Stochastic Approach for Link-Structure Analysis
120
5.2.9
Counting Incoming Links
122
5.2.10
The Bias of PageRank against New Pages
123
5.2.11
PageRank within a Community
123
5.2.12
Influence of Weblogs on PageRank
124
5.2.13
Link Spam
125
5.2.14
Citation Analysis
127
5.2.15
The Wide Ranging Interest in PageRank
129
5.3
Popularity-Based Metrics
130
5.3.1
Direct Hit s Popularity Metric
ізо
5.3.2
Document Space Modification
132
5.3.3
Using Query Log Data to Improve Search
132
5.3.4
Learning to Rank
133
5.3.5
BrowseRank
134
5.4
Evaluating Search Engines
136
5.4.1
Search Engine Awards
136
5.4.2
Evaluation Metrics
136
5.4.3
Performance Measures
138
5.4.4
Eye Tracking Studies
139
5.4.5
Test Collections
141
5.4.6
Inferring Ranking Algorithms
142
CHAPTER
6
DIFFERENT TYPES OF SEARCH ENGINES
148
6.1
Directories and Categorization of Web Content
150
6.2
Search Engine Advertising
152
6.2.1
Paid Inclusion
152
6.2.2
Banner Ads
153
6.2.3
Sponsored Search and Paid Placement
153
6.2.4
Behavioral Targeting
157
6.2.5
User Behavior
158
6.2.6
The Trade-Off between Bias and Demand I60
6.2.7
Sponsored Search Auctions 161
6.2.8
Pay per Action
165
6.2.9
Click Fraud and Other Forms of Advertising Fraud
166
6.3
Metasearch I68
6.3.1
Fusion Algorithms
169
6.3.2
Operational Metasearch Engines
170
6.3.3
Clustering Search Results
173
6.3.4
Classifying Search Results
173
6.4
Personalization
178
6.4.1
Personalization versus Customization
18О
6.4.2
Personalized Results Tool
18О
6.4.3
Privacy and Scalability
182
6.4.4
Relevance Feedback
182
6.4.5
Personalized PageRank
184
X
CONTENTS
6.4.6
Outride
s
Personalized Search
186
6.5
Question Answering (Q&A) on the Web
187
6.5.1
Natural Language Annotations
188
6.5.2
Factual Queries 19O
6.5.3
Open Domain Question Answering 191
6.5.4
Semantic Headers
193
6.6
Image Search
194
6.6.1
Text-Based Image Search
195
6.6.2
Content-Based Image Search
196
6.6.3
VisualRank
198
6.6.4
CAPTCHA and reCAPTCHA
200
6.6.5
Image Search for Finding Location-Based Information
200
6.7
Special Purpose Search Engines
201
chapter
7
NAVIGATING THE WEB
_____________________________
7.1
Frustration in Web Browsing and Navigation
211
7.1.1
HTML and Web Site Design
211
7.1.2
Hyperlinks and Surfing
211
7.1.3
Web Site Design and Usability
212
7.2
Navigation Tools
21
з
7.2.1
The Basic Browser Tools
21
з
7.2.2
The Back and Forward Buttons
214
7.2.3
Search Engine Toolbars
215
7.2.4
The Bookmarks Tool
216
7.2.5
The History List
219
7.2.6
Identifying Web Pages
219
7.2.7
Breadcrumb Navigation
221
7.2.8
Quicklinks
222
7.2.9
Hypertext Orientation Tools
223
7.2.10
HyperCard Programming Environment
224
7.3
Navigational Metrics
225
7.3.1
The Potential Gain
226
7.3.2
Structural Analysis of a Web Site
228
7.3.3
Measuring the Usability of Web Sites
229
7.4
Web Data Mining
230
7.4.1
Three Perspectives on Data Mining
230
7.4.2
Measuring the Success of a Web Site
231
7.4.3
Web Analytics
233
7.4.4
E-Metrics
233
7.4.5
Web Analytics Tools
234
7.4.6
Weblog File Analyzers
235
7.4.7
Identifying the Surfer
2З6
7.4.8
Sessionizing
237
7.4.9
Supplementary Analyses
237
7.4.10
Markov Chain Model of Web Site Navigation
238
7.4.11
Applications of Web Usage Mining
242
7.4.12
Information Extraction
244
7.5
The Best Trail Algorithm
245
7.5.1
Effective View Navigation
245
CONTENTS
XI
7.5.2 Web
Usage Mining for Personalization
246
7.5.3
Developing a Trail Engine
246
7.6
Visualization that Aids Navigation
252
7.6.1
How to Visualize Navigation Patterns
252
7.6.2
Overview Diagrams and Web Site Maps
253
7.6.3
Fisheye Views
255
7.6.4
Visualizing Trails within a Web Site
257
7.6.5
Visual Search Engines
258
7.6.6
Social Data Analysis
259
7.6.7
Mapping Cyberspace
262
7.7
Navigation in Virtual and Physical Spaces
262
7.7.1
Real-World Web Usage Mining
262
7.7.2
The Museum Experience Recorder
264
7.7.3
Navigating in the Real World
265
CHAPTER
8
THE MOBILE WEB
272
8.1
The Paradigm of Mobile Computing
273
8.1.1
Wireless Markup Language
274
8.1.2
The i-mode Service
275
8.2
Mobile Web Services
277
8.2.1
M-commerce
277
8.2.2
Delivery of Personalized News
278
8.2.3
Delivery of Learning Resources
281
8.3
Mobile Device Interfaces
282
8.3.1
Mobile Web Browsers
282
8.3.2
Information Seeking on Mobile Devices
284
8.3.3
Text Entry on Mobile Devices
284
8.3.4
Voice Recognition for Mobile Devices
286
8.3.5
Presenting Information on a Mobile Device
287
8.4
The Navigation Problem in Mobile Portals
291
8.4.1
Click-Distance
291
8.4.2
Adaptive Mobile Portals
292
8.4.3
Adaptive Web Navigation
294
8.5
Mobile Search
295
8.5.1
Mobile Search Interfaces
296
8.5.2
Search Engine Support for Mobile Devices
298
8.5.3
Focused Mobile Search
299
8.5.4
Laid Back Mobile Search
300
8.5.5
Mobile Query Log Analysis
ЗОЇ
8.5.6
Personalization of Mobile Search
З02
8.5.7
Location-Aware Mobile Search
303
chapter
9
SOCIAL NETWORKS
309
9.1
What is a Social Network?
311
9.1.1
Milgram
s
Small-World Experiment
312
9.1.2
Collaboration Graphs
зіз
9.1.3
Instant Messaging Social Network
314
XII CONTENTS
9.1.4
The Social
Web
314
9.1.5
Social Network
Start-Ups 316
9.2
Social Network
Analysis
320
9.2.1
Social Network
Terminology
320
9.2.2
The Strength of Weak Ties
322
9.2.3
Centrality
322
9.2.4
Web Communities
324
9.2.5
Pajek: Large Network Analysis Software
326
9.3
Peer-to-Peer Networks
326
9.3.1
Centralized P2P Networks
327
9.3.2
Decentralized P2P Networks
328
9.3.3
Hybrid P2P Networks
ззо
9.3.4
Distributed Hash Tables
ззі
9.3.5
BitTorrent File Distribution
ззі
9.3.6
JXTA P2P Search
332
9.3.7
Incentives in P2P Systems
332
9.4
Collaborative Filtering
333
9.4.1
Amazon.com
ззз
9.4.2
Collaborative Filtering Explained
зз4
9.4.3
User-Based Collaborative Filtering
335
9.4.4
Item-Based Collaborative Filtering
337
9.4.5
Model-Based Collaborative Filtering
338
9.4.6
Content-Based Recommendation Systems
339
9.4.7
Evaluation of Collaborative Filtering Systems
340
9.4.8
Scalability of Collaborative Filtering Systems
341
9.4.9
A Case Study of Amazon.co.uk
341
9.4.10
The Netflix Prize
342
9.4.11
Some Other Collaborative Filtering Systems
346
9.5
Weblogs (Blogs)
347
9.5.1
Blogrolling
348
9.5.2
Blogspace
348
9.5.3
Blogs for Testing Machine Learning Algorithms
349
9.5.4
Spreading Ideas via Blogs
349
9.5.5
The
Real-Time Web
and Microblogging 350
9.6
Power-Law Distributions in the Web
352
9.6.1
Detecting Power-Law Distributions
353
9.6.2
Power-Law Distributions in the Internet
355
9.6.3
A Law of Surfing and a Law of Participation
355
9.6.4
The Evolution of the Web via Preferential Attachment
357
9.6.5
The Evolution of the Web as a Multiplicative Process
359
9.6.6
The Evolution of the Web via HOT
З60
9.6.7
Small-World Networks 36i
9.6.8
The Robustness and Vulnerability of a Scale-Free Network
366
9.7
Searching in Social Networks
369
9.7.1
Social Navigation
369
9.7.2
Social Search Engines
370
9.7.3
Navigation Within Social Networks
373
9.7.4
Navigation Within Small-World Networks
375
9.7.5
Testing Navigation Strategies in Social Networks
379
9.8
Social Tagging and Bookmarking
379
CONTENTS XIII
9.8.1 Flickr—Sharing
Your
Photos 380
9.8.2 YouTube—
Broadcast Yourself
380
9.8.3
Delicious for Social Bookmarking
382
9.8.4
Communities Within Content Sharing Sites
382
9.8.5
Sharing Scholarly References
383
9.8.6
Folksonomy
383
9.8.7
Tag Clouds
384
9.8.8
Tag Search and Browsing
385
9.8.9
The Efficiency of Tagging
388
9.8.10
Clustering and Classifying Tags
389
9.9
Opinion Mining
390
9.9.1
Feature-Based Opinion Mining
391
9.9.2
Sentiment Classification
392
9.9.3
Comparative Sentence and Relation Extraction
393
9.10
Web
2.0
and Collective Intelligence
393
9.10.1 Ajax 394
9.10.2
Syndication
395
9.10.3
Open APIs, Mashups, and Widgets
396
9.10.4
Software as a Service
398
9.10.5
Collective Intelligence
399
9.10.6
Algorithms for Collective Intelligence
401
9.10.7
Wikipedia
—
The World s Largest Encyclopedia
402
9.10.8
eBay
—
The World s Largest Online Trading Community
407
chapter
1
о
THE FUTURE OF WEB SEARCH AND NAVIGATION
419
BIBLIOGRAPHY
424
INDEX
463
|
| any_adam_object | 1 |
| author | Levene, Mark 1957- |
| author_GND | (DE-588)120507978 |
| author_facet | Levene, Mark 1957- |
| author_role | aut |
| author_sort | Levene, Mark 1957- |
| author_variant | m l ml |
| building | Verbundindex |
| bvnumber | BV036856365 |
| callnumber-first | Z - Library Science |
| callnumber-label | ZA4230 |
| callnumber-raw | ZA4230 |
| callnumber-search | ZA4230 |
| callnumber-sort | ZA 44230 |
| callnumber-subject | ZA - Information Resources |
| classification_rvk | ST 205 |
| ctrlnum | (OCoLC)695942545 (DE-599)BVBBV036856365 |
| dewey-full | 025.0425 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 025 - Operations of libraries and archives |
| dewey-raw | 025.0425 |
| dewey-search | 025.0425 |
| dewey-sort | 225.0425 |
| dewey-tens | 020 - Library and information sciences |
| discipline | Allgemeines Informatik |
| edition | 2. ed. |
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| id | DE-604.BV036856365 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:49:30Z |
| institution | BVB |
| isbn | 9780470526842 |
| language | English |
| lccn | 2010008435 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020772226 |
| oclc_num | 695942545 |
| open_access_boolean | |
| owner | DE-12 DE-859 |
| owner_facet | DE-12 DE-859 |
| physical | XIX, 478 S. Ill., graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Wiley |
| record_format | marc |
| spelling | Levene, Mark 1957- Verfasser (DE-588)120507978 aut An introduction to search engines and web navigation Mark Levene 2. ed. Oxford Wiley 2010 XIX, 478 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Internet searching Web search engines Online-Recherche (DE-588)4115449-6 gnd rswk-swf Suchmaschine (DE-588)4423007-2 gnd rswk-swf Internet (DE-588)4308416-3 gnd rswk-swf Internet (DE-588)4308416-3 s Online-Recherche (DE-588)4115449-6 s Suchmaschine (DE-588)4423007-2 s DE-604 Digitalisierung BSB Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020772226&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Levene, Mark 1957- An introduction to search engines and web navigation Internet searching Web search engines Online-Recherche (DE-588)4115449-6 gnd Suchmaschine (DE-588)4423007-2 gnd Internet (DE-588)4308416-3 gnd |
| subject_GND | (DE-588)4115449-6 (DE-588)4423007-2 (DE-588)4308416-3 |
| title | An introduction to search engines and web navigation |
| title_auth | An introduction to search engines and web navigation |
| title_exact_search | An introduction to search engines and web navigation |
| title_full | An introduction to search engines and web navigation Mark Levene |
| title_fullStr | An introduction to search engines and web navigation Mark Levene |
| title_full_unstemmed | An introduction to search engines and web navigation Mark Levene |
| title_short | An introduction to search engines and web navigation |
| title_sort | an introduction to search engines and web navigation |
| topic | Internet searching Web search engines Online-Recherche (DE-588)4115449-6 gnd Suchmaschine (DE-588)4423007-2 gnd Internet (DE-588)4308416-3 gnd |
| topic_facet | Internet searching Web search engines Online-Recherche Suchmaschine Internet |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020772226&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT levenemark anintroductiontosearchenginesandwebnavigation |