Springer Advanced Techniques in Web Intelligence-2: Web User Browsing Behaviour and Preference Analysis: 452 (Studies in Computational Intelligence, 452)

This book presents tasks for gathering information on and interpreting user behavior in Web based systems, ubiquitous environments, social networks and traditional Web applications, in order to create new systems that personalize the Web user experience. Review From the reviews: “This volume presents a progression of ideas, starting with data gathering, extending through behavioral characterization and user modeling, and ending with applications. Extensive references to the research literature accompany each chapter, and a rather brief subject index concludes the volume. This book is suitable for researchers and graduate students looking for a survey of current trends in the modeling of web user behavior from the perspective of web data analysis or cognitive science.” (R. M. Malyankar, ACM Computing Reviews, February, 2013) From the Back Cover This research volume focuses on analyzing the web user browsing behaviour and preferences in traditional web-based environments, social  networks and web 2.0 applications,  by using advanced  techniques in data acquisition, data processing, pattern extraction and  cognitive science for modeling the human actions.  The book is directed to  graduate students, researchers/scientists and engineers  interested in updating their knowledge with the recent trends in web user analysis, for developing the next generation of web-based systems and applications.