Advanced Techniques in Web Intelligence-2

Web User Browsing Behaviour and Preference Analysis

Juan D. Velásquez, Vasile Palade, Lakhmi C. Jain (Herausgeber)

Buch | Softcover

XVI, 184 Seiten

2014
Springer Berlin (Verlag)
978-3-642-43035-0 (ISBN)

Artikel merken

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.

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.

New Trends in Web User Behaviour Analysis.- Web Usage Data Pre-processing.- Cognitive Science forWeb Usage Analysis.- Web Usage Mining: Discovering Usage Patterns for Web Applications.- Web Opinion Mining and Sentimental Analysis.- Web Usage Based Adaptive Systems.- Recommender Systems: Sources of Knowledge and Evaluation Metrics.

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)

Erscheint lt. Verlag	15.10.2014
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVI, 184 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	314 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Computational Intelligence • Machine learning for the web-based systems • Mining usage patterns • Web Intelligence • Web Personalization • Web recommender systems • Web Usage Mining
ISBN-10	3-642-43035-X / 364243035X
ISBN-13	978-3-642-43035-0 / 9783642430350
Zustand	Neuware