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 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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Adaptive dialogue-driven search
Connector Web site
Dynamic Web pages customization
Interaction design
Machine learning approach
Query log analysis
Search log analysis
Search query classification
Search query logs
Transaction log analysis
Very-scale conversation
Web Analytics
Web information seeking behavior
Web log analysis
Web log privacy
Web logging data
Web sites
Web usage studies
Web-traffic measurement

Reviews & Statements

This book reflects on the multifaceted themes of Web use and presents various approaches to log analysis

– Bernard J. Jansen, Penn State University, USA

This book is suitable for reference library collections, academics, students, researchers, and technology.

– Book News Inc. (December 2008)

The book contains a number of interesting and relevant chapters and is highly appropriate for researchers or students who are interested in transaction log analysis methods and need one reference that covers historical information, the strengths and weaknesses of these methods and a thorough coverage of the potential of web log analysis.

– Library Hi Tech, Vol. 28, No. 1

The editors collected 25 chapters on various topics connected with Web log analysis, including its history, methodological foundations, metrics, behavior analysis, query log analysis, and contextual and specialized analysis. Each chapter contains a separate bibliography and definitions of key terms. [...] A good source for new ideas and thoughts, this book points to the design and implementation of particular solutions.

– M. Bielikova, Computing Reviews Online

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Editor/Author Biographies

Bernard J. Jansen is an assistant professor in the College of Information Sciences and Technology at The Pennsylvania State University. Jim has more than 150 publications in information technology and systems across a multi-disciplinary range of journals and conferences. His areas of expertise are Web searching, sponsored search, and personalization for information searching. He is co-author of the book, Web Search: Public Searching of the Web. Jim is a member of the editorial boards of six international journals. He has received awards and honors, including an ACM Research Award and six application development awards, along with other writing, publishing, research, and leadership honors. Several agencies and corporations have supported his research. He teaches both undergraduate and graduate courses, as well as mentoring students in various research and educational efforts. He also has successfully conducted numerous consulting projects.

Amanda Spink is Professor in the Faculty of Information Technology at the Queensland University of Technology and Co-Leader of the Information Science Cluster. Her primary research includes: basic, applied, industry and interdisciplinary studies in information science, information behavior, cognitive information retrieval; Web retrieval, including relevance, feedback and multitasking models. Professor Amanda Spink has published over 300 journal articles, refereed conference papers and book chapters, and 5 books. She is a member of numerous journal editorial boards including: Information Processing and Management, Journal of Documentation, Journal of Information Systems Education and Webology.

Isak Taksa is an Associate Professor in the Department of Computer Information Systems at Baruch College of the City University of New York (CUNY). His primary research interests include information retrieval, knowledge discovery and text and data mining. He has published extensively on theoretical and applied aspects of Information Retrieval and Search Engine technology in journals including Information Retrieval, Journal of the American Society for Information Science.

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