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Section V Security, Privacy, and Personalization Chapter XVII Technical Solutions for Privacy-Enhanced Personalization ............................................................... 353 Yang Wang, University of California, Irvine, USA Alfred Kobsa, University of California, Irvine, USA Compilation of References .............................................................................................................. 377 About the Contributors ................................................................................................................... 414 Index ................................................................................................................................................... 423
Detailed Table of Contents Foreword ............................................................................................................................................. xvi Preface ..............................................................................................................................................xviii Acknowledgment .............................................................................................................................. xxiv Section I Theoretical Aspects of Adaptive and Personalized User Interfaces Chapter I An Assessment of Human Factors in Adaptive Hypermedia Environments .......................................... 1 Nikos Tsianos, National & Kapodistrian University of Athens, Greece Panagiotis Germanakos, National & Kapodistrian University of Athens, Greece Zacharias Lekkas, National & Kapodistrian University of Athens, Greece Constantinos Mourlas, National & Kapodistrian University of Athens, Greece George Samaras, University of Cyprus, Cyprus User profiles serves as the main component of most Web personalization systems. With the use of various techniques that are based on given user preferences, navigation behaviour and the Web-based content returns the requested personalized result. Main scope of this chapter is to present the various techniques employed by such systems with regards to user profiles extraction and introduce a comprehensive user profile, which includes User Perceptual Preference Characteristics. It further analyzes the main intrinsic users’ characteristics like visual, cognitive, and emotional processing parameters incorporated as well as the “traditional” user profile characteristics that together tend to give the most optimized, adapted and personalized outcome. It finally presents a Web adaptation and personalization system that implements the proposed comprehensive user profile as well as evaluation results that further support their importance and impact in the information space.
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0 Chapter III The Effects of Human
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Intelligent Information Personaliza
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Integrating Semantic Knowledge with
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in Web usage mining and personaliza
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ion. As before, we consider the bro
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Adaptive Presentation and Schedulin
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Section IV Innovative Applications
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Impact of Cognitive Style on User P
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Section V Security, Privacy, and Pe
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Compilation of References Agirre, E
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Compilation of References Education
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About the Contributors Costas Mourl
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About the Contributors E-Government
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About the Contributors Alfred Kobsa
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About the Contributors for his work
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About the Contributors fellow at No
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Index 370, 382, 384, 388, 402, 408
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Index privacy, preferences on 356,
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