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Adaptable and Adaptive Hypermedia Systems

Adaptable and Adaptive Hypermedia Systems
Author(s)/Editor(s): Sherry Y. Chen (Brunel University, UK) and George D. Magoulas (University of London, UK)
Copyright: ©2005
DOI: 10.4018/978-1-59140-567-2
ISBN13: 9781591405672
ISBN10: 159140567X
EISBN13: 9781591405375


View Adaptable and Adaptive Hypermedia Systems on the publisher's website for pricing and purchasing information.


Hypermedia systems may be one of the most significant contributions to the Internet in recent years. This powerful new technology has revolutionized the delivery of e-content through the Internet. However, as the needs of users have changed, the hypermedia systems themselves have also changed. In just the past few years, adaptive and adaptable hypermedia systems have emerged. These systems can custom tailor information to individual end-users. The introduction of these systems yields countless benefits for both users and businesses.

Adaptable and Adaptive Hypermedia Systems examines both types of new hypermedia systems; discussing the benefits, impacts and implications of both. This book covers the most current issues in the field, while providing insight into analytical and architectural aspects of the topic. Additionally, applications are provided in real world setting to allow for a better and more thorough understanding of hypermedia systems.

Reviews and Testimonials

This book stands out due to the diversity of its chapters. All together, they show a great amount of current research work in different research areas as well as different application domains, all dealing with adaptation issues in hypermedia systems. This diversity helps the reader to see new aspects and generate new ideas.

– Sabine Graf, Vienna University of Technology, Austria

This is an excellent book offering detailed yet lucid descriptions of leading-edge developments in the area of personalized information systems. The editors have done an excellent job in bringing together a wide range of contributions to form a well structured and clearly presented book that will be of value to students, teachers and developers interested in the development and evaluation of adaptable and adaptive systems. It covers a wide range of key issues relating to system design, development and evaluation.

– Professor Nigel Ford, University of Sheffield, United Kingdom

Everyone interested in Adaptive Hypermedia Systems must read this book. It captures the state-of-the-art in this fascinating field and delivers a one-stop reference volume for researchers, designers and developers of Adaptive Hypermedia Systems.

– Demetrios G. Sampson, University of Piraeus, Greece

This book is a very good overview of current approaches and can be seen both as a starting point for newcomers to this field of research, and as a nice reading for the in-depth study of different approaches by people experienced in adaptive hypermedia.

– University Access Information Society (2006)

Author's/Editor's Biography

Sherry Chen (Ed.)

Sherry Y. Chen is a senior lecturer in the School of Information Systems, Computing and Mathematics, at Brunel University, UK. She obtained her Ph.D. from the University of Sheffield, UK, in 2000. She has published widely in the areas of human-computer interaction, data mining, digital libraries, and educational technology. Dr. Chen was the co-editor of the books, Adaptive and Adaptable Hypermedia Systems and Advances in Web-based Education: Personalized Learning Environments, and is a member of the editorial boards of five computing journals. She has been invited to give several talks, including the 9th International Conference on User Modelling and EPSRC Network of Women in Computer Science colloquium.

George Magoulas (Ed.)

Dr. George D. Magoulas is a Reader in Computer Science in the School of Computer Science and Information Systems at Birkbeck College, University of London. Dr. Magoulas was educated at the University of Patras, Greece, in Electrical and Computer Engineering (BEng/MEng, PhD), and holds a Post Graduate Certificate in Teaching and Learning in Higher Education from Brunel University, UK. His primary research interests are learning and adaptation methods with applications to intelligent learning environments and adaptive web-based systems. He has published over 100 research contributions in leading international journals, conferences and books, and has participated in several industrial and academic research projects at European and National levels. Dr. Magoulas is a member of the IEEE, the User Modeling Inc., the Technical Chamber of Greece and the Hellenic Artificial Intelligence Society. His work in personalized systems is currently funded by the UK Engineering and Physical Sciences Research Council, and the UK Arts and Humanities Research Board.


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