Whether searching, shopping, or socializing, Web users leave behind a great deal of data revealing their information needs, mindset, and approaches used, creating vast opportunities for Web service providers as well as a host of security and privacy concerns for consumers. The Handbook of Research on Web Log Analysis reflects on the multifaceted themes of Web use and presents various approaches to log analysis. This expansive collection reviews the history of Web log analysis and examines new trends including the issues of privacy, social interaction and community building. Over 20 research contributions from 44 international experts comprehensively cover the latest user-behavior analytic and log analysis methodologies, and consider new research directions and novel applications. An essential holding for library reference collections, this Handbook of Research will benefit academics, researchers, and students in a variety of fields, as well as technology professionals interested in the opportunities and challenges presented by the massive collection of Web usage data.
Author(s): Amanda Spink
Edition: 1
Year: 2008
Language: English
Pages: 628
Title Page......Page 2
List of Contributors......Page 4
Table of Contents......Page 6
Detailed Table of Contents......Page 10
Preface......Page 20
Research and Methodological
Foundations of Transaction Log
Analysis......Page 26
Historic Perspective of Log
Analysis......Page 43
Surveys as a Complementary
Method for Web Log Analysis......Page 64
Watching the Web:
An Ontological and Epistemological
Critique of Web-Traffic Measurement......Page 90
Privacy Concerns for Web
Logging Data......Page 105
The Methodology of
Search Log Analysis......Page 125
Uses, Limitations, and Trends in
Web Analytics......Page 149
A Review of Methodologies for
Analyzing Websites......Page 168
The Unit of Analysis and the
Validity of Web Log Data......Page 190
Recommendations for Reporting
Web Usage Studies......Page 206
From Analysis to Estimation of
User Behavior......Page 231
An Integrated Approach to
Interaction Design and Log
Analysis......Page 252
Tips for Tracking Web
Information Seeking Behavior......Page 281
Identifying Users Stereotypes
for Dynamic Web Pages
Customization......Page 309
Finding Meaning in Online,
Very-Large Scale Conversations......Page 332
Machine Learning Approach to
Search Query Classification......Page 354
Topic Analysis and
Identification of Queries......Page 370
Query Log Analysis
in Biomedicine......Page 384
Processing and Analysis of
Search Query Logs in Chinese......Page 403
Query Log Analysis for Adaptive
Dialogue-Driven Search......Page 414
Using Action-Object Pairs as
a Conceptual Framework for
Transaction Log Analysis......Page 441
Analysis and Evaluation of the
Connector Website......Page 461
Information Extraction
from Blogs......Page 494
Nethnography:
A Naturalistic Approach Towards
Online Interaction......Page 513
Web Log Analysis:
Diversity of Research Methodologies......Page 531
Glossary......Page 548
Compilation of References......Page 563
About the Contributors......Page 618
Index......Page 626
