Web search engine research:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
Emerald Group Publ.
2012
|
| Series: | Library and information science
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIII, 322 S. graph. Darst., Kt. 24 cm |
| ISBN: | 9781780526362 |
Staff View
MARC
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| 020 | |a 9781780526362 |c (hbk.) £67.95 |9 978-1-7805-2636-2 | ||
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| 245 | 1 | 0 | |a Web search engine research |c Dirk Lewandowski |
| 264 | 1 | |a London |b Emerald Group Publ. |c 2012 | |
| 300 | |a XIII, 322 S. |b graph. Darst., Kt. |c 24 cm | ||
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Record in the Search Index
| _version_ | 1828382721247805440 |
|---|---|
| adam_text |
Contents
List of Contributors
xi
Editorial Advisory Board
xiii
1.
New Perspectives on Web Search Engine Research
1
Dirk Lewandowski
1.1.
The Context of Web Search Engine Research
2
1.1.1.
The Search Engine Market
2
1.1.2.
Challenges to Information Retrieval and the Library
and Information Science Research Communities
3
1.1.3.
Approaches to Classifying Web Search Engine
Research Areas
4
1.2.
Book Outline
6
1.2.1.
Part
1:
Emerging Areas of Web Searching
6
1.2.2.
Part
2:
Beyond Traditional Search Engine Evaluation
8
1.2.3.
Part
3:
New Perspectives on Web Searching
10
1.3.
Suggestions for Further Research
12
References
14
PART
1:
EMERGING AREAS OF WEB SEARCHING
2.
The Many Ways of Searching the Web Together: A Comparison
of Social Search Engines
19
Manuel Burghardt,
Markus Heckner
and Christian Wolff
2.1.
Introduction
20
2.2.
What Is Social Search?
21
2.2.1.
Context and History of Social Information Retrieval
21
2.2.2.
The Social Graph
22
2.2.3.
Defining Social Search
23
2.3.
Social Tagging Systems
26
2.3.1.
Fundamentals and Motivation for Social Tagging
27
vi
Contents
2.3.2.
Direct Usage of
Social
Tagging
Systems
28
2.3.3.
Indirect Usage
of Social Tags as
Input
for Search
Algorithms
29
2.4.
Social Question-Answering
29
2.4.1.
Fundamentals of Social QA
29
2.4.2.
Community-Based Systems
32
2.4.3.
Expert-Based Systems
32
2.5.
Collaborative Search
34
2.6.
Collaborative Filtering and Recommender Services
35
2.7.
Personalized Social Search
38
2.8.
Outlook
40
References
41
3.
Local Web Search Examined
47
Dirk Ahlers
3.1.
Introduction
48
3.2.
History and Overview
50
3.2.1.
Local Search
50
3.2.2.
Geographic Information Retrieval
53
3.2.3.
Search Scenarios and Information Needs
53
3.3.
Current Local Search Engines
55
3.3.1.
Yellow Pages
57
3.3.2.
Map-Based Local Web Search
58
3.3.3.
General Web Search
65
3.3.4.
Other Local Search Services
71
3.3.5.
Impact
72
3.4.
Mobile Local Search
73
3.5.
Future Research and Evolution of Local Search
74
References
74
4.
The Computational Analysis of Web Search Statistics in the
Intelligent Framework Supporting Decision Making
79
Wiesław Pietruszkiewicz
4.1.
Introduction
80
4.2.
Web Search Queries Statistics
82
4.3.
Scientific Basics of Prognosis and Forecasting
Based on Web Search Statistics
85
4.4.
Examples of Web Search Statistics Analyses
87
4.5.
Issues of Search Queries Computational Processing
91
4.6.
Associative Analysis of Search Queries Statistics
93
4.7.
WebPerceiver Platform
94
4.8.
Practical Implications and Further Development
and Research
99
Contents
vii
4.9.
Summary and Conclusions
100
References
101
PART
2:
BEYOND TRADITIONAL SEARCH ENGINE
EVALUATION
5.
Evaluating Web Retrieval Effectiveness
105
Ben Carterette, Evangelos Kanoulas and
Emine
Yilmaz
5.1.
Introduction
106
5.2.
Test Collections
107
5.2.1.
Assembling a Document Collection
108
5.2.2.
Creating a Set of Information Needs
108
5.2.3.
Identifying the Set of Documents Relevant
to the Topics
109
5.3.
Traditional Evaluation Measures 111
5.3.1.
Precision and Recall 111
5.3.2.
Average Precision
113
5.4.
Evaluation with User Models
114
5.4.1.
Cooper's Expected Search Length
114
5.4.2.
Robertson's Interpretation of Average Precision
115
5.4.3.
Graded Relevance
116
5.4.4.
Rank-Biased Precision
117
5.4.5.
Normalized Discounted Cumulative Gain
118
5.4.6.
Expected Reciprocal Rank
121
5.4.7.
Expected Browsing Utility
122
5.5.
Advanced User Models
124
5.5.1
Novelty and Diversity
124
5.5.2
Sessions
129
5.6.
Online Evaluation of Retrieval Systems
133
5.7.
Conclusion
134
References
135
6.
Diversity-Aware Search: New Possibilities and Challenges
for Web Search
139
Kerstin Denecke
6.1.
Introduction
140
6.2.
Diversity and Its Notions
141
6.3.
Diversity in Web Search
146
6.3.1.
Diversity in Result Sets and Ranking
147
6.3.2.
Comprehensive Diversity Analysis
149
6.3.3.
Evaluation Measures for Result Diversification
151
6.4.
Diversity-Aware Search Engine for Medical Web
Content: An Example
153
viii Contents
6.4.1.
Functionality of the Search
Engine
153
6.4.2.
System Architecture and Diversity Analysis Strategy
155
6.4.3.
Transfer to Other Domains
158
6.5.
Future Challenges
159
References
160
7.
Personalised Search Engine Evaluation: Methodologies
and Metrics
163
Kin Fun Li, Yali Wang and Wei Yu
7.1.
Introduction and Motivation
164
7.2.
Search Engine Evaluation Criteria
165
7.2.1.
User-Oriented Evaluation
167
7.3
A Search Engine Evaluation Model
168
7.3.1.
Weighted Parameters and Summary Score
169
7.3.2.
Feature Parameters
170
7.3.3.
Performance Parameters
172
7.3.4.
Evaluating Relevance Using a Common List
173
7.3.5.
More on Quality Issues
174
7.4.
Search Engine Comparison Using the Evaluation Model
175
7.4.1.
Data Collection Methodology
175
7.4.2.
Qualitative and Quantitative Evaluations
175
7.4.3.
An Illustrative Case Study
176
7.5.
Performance Measurement Metrics
177
7.5.1.
Frequency Measures
179
7.6.
Histogram Patterns and Classification
180
7.6.1.
Daily Duplication Frequency Patterns
181
7.7.
Period Duplication Frequency Patterns
183
7.7.1.
Daily Rank Change Frequency Patterns
183
7.7.2.
Remarks on Patterns
183
7.8.
Comparing and Classifying Histogram Patterns
186
7.8.1.
Parameters for Histogram Patterns
187
7.8.2.
Expected Value as a Single Index
187
7.9.
Validation of the Proposed Pattern Classification
190
7.9.1.
Case I
190
7.9.2.
Case II
193
7.10.
Conclusions
193
References
194
8.
Search Engines and Rank Correlation
203
Massimo Melucci
8.1.
Introduction
204
8.2.
Motivations and Concepts
205
Contents
ix
8.3.
Literature Survey
212
8.3.1.
Document Ranking
212
8.3.2.
System Ranking
213
8.3.3.
System Architecture
214
8.4.
Discussion
215
8.5.
Alternative RCCs
217
8.6.
A Framework for Investigating Rank Correlation
219
8.7.
Conclusions
221
References
222
PART
3:
NEW PERSPECTIVES ON WEB SEARCHING
9.
Beyond Search: A Technology Probe Investigation
227
Erin M. Bryant, Richard Harper and Philip
Gösset
9.1.
Typologies of Web Use
228
9.2.
Designing Web Interaction Probes
233
9.2.1.
Cards
235
9.2.2.
Pebbles
237
9.3.
Field Trial
238
9.4.
Findings
240
9.4.1.
Confounding Properties of the Experience
240
9.4.2.
Grasping the Possibilities of Pebbles
242
9.4.3.
Reflections on Cards
245
9.5.
Conclusions and Implications for Future Research
246
References
248
10.
How Search Engine Users Evaluate and Select Web Search
Results: The Impact of the Search Engine Interface
on Credibility Assessments
251
Yvonne
Kammerer
and Peter Gerjets
10.1.
Introduction and Overview
252
10.2.
The Importance of Information Quality and Credibility
on the Web
254
10.2.1.
Definitions
ofinformation
Quality and Credibility
254
10.2.2.
The Heterogeneity
ofinformation
Sources on the
Web and in Search Engine Lists
254
10.3.
Selection of Search Results from SERPs
256
10.3.1.
Information Foraging Theory: Search
Result Selection Based on Information
Scent and Satisficing Strategies
256
10.3.2.
Empirical Findings About Laypeople's Search
Result Selection Behavior
257
10.4.
Credibility Assessments on the Web
259
χ
Contents
10.4.1. Prominence-Interpretation
Theory: Two Constituent
Components for Credibility Assessments
259
10.4.2.
Potential Reasons for the Neglect of Credibility of
Information Sources on SERPs
260
10.5.
Alternative Search Engine Interfaces to Support
Credibility Assessments
262
10.5.1.
Reducing the Prominence of the Search
Results Ranking
262
10.5.2.
Increasing the Prominence of Quality-Related
Cues on SERPs
265
10.5.3.
Automatic Classification of Search Results
According to Genre Categories
269
10.6.
Conclusions
272
References
275
11.
What Would Kant Think? Testing Truth Claims in Research
Traditions, and Proposing Deeper Meanings for the
Concept of "Search"
281
Denise
N.
Rail
11.1.
Introduction
282
11.2.
Truth Claims in Science
285
11.3.
Truth Claims in Social Science
288
11.4.
Truth Claims in Law
290
11.5.
Judgmental Truth Claims
292
11.6.
Types and Behaviors of Networks
294
11.7.
Search Engine Mechanisms
297
11.8.
Considering Other Philosophies in the Meanings of Search
298
11.9.
The Index as an Aesthetic Marker of Presence
298
11.10.
The Psychological Basis of Search
300
11.11.
Performativity
301
11.12.
Conclusion
303
References
304
About the Authors
309
Subject Index
315 |
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| isbn | 9781780526362 |
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| spelling | Lewandowski, Dirk 1973- Verfasser (DE-588)130531782 aut Web search engine research Dirk Lewandowski London Emerald Group Publ. 2012 XIII, 322 S. graph. Darst., Kt. 24 cm txt rdacontent n rdamedia nc rdacarrier Library and information science Suchmaschine (DE-588)4423007-2 gnd rswk-swf Internet (DE-588)4308416-3 gnd rswk-swf Forschung (DE-588)4017894-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Internet (DE-588)4308416-3 s Suchmaschine (DE-588)4423007-2 s Forschung (DE-588)4017894-8 s DE-604 Erscheint auch als Online-Ausgabe 978-1-7805-2637-9 Digitalisierung BSB Muenchen 4 application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025101577&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lewandowski, Dirk 1973- Web search engine research Suchmaschine (DE-588)4423007-2 gnd Internet (DE-588)4308416-3 gnd Forschung (DE-588)4017894-8 gnd |
| subject_GND | (DE-588)4423007-2 (DE-588)4308416-3 (DE-588)4017894-8 (DE-588)4143413-4 |
| title | Web search engine research |
| title_auth | Web search engine research |
| title_exact_search | Web search engine research |
| title_full | Web search engine research Dirk Lewandowski |
| title_fullStr | Web search engine research Dirk Lewandowski |
| title_full_unstemmed | Web search engine research Dirk Lewandowski |
| title_short | Web search engine research |
| title_sort | web search engine research |
| topic | Suchmaschine (DE-588)4423007-2 gnd Internet (DE-588)4308416-3 gnd Forschung (DE-588)4017894-8 gnd |
| topic_facet | Suchmaschine Internet Forschung Aufsatzsammlung |
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| work_keys_str_mv | AT lewandowskidirk websearchengineresearch |