Adaptive Hypermedia Systems

Adaptive Hypermedia Systems

Ana Carolina Tomé Klock, Isabela Gasparini, Marcelo Soares Pimenta, José Palazzo M. de Oliveira
Copyright: © 2019 |Pages: 12
DOI: 10.4018/978-1-5225-7601-3.ch018
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Abstract

Adaptive hypermedia systems are systems that modify the different visible aspects based on the user profile. To provide this adaptation, the system is modeled according to a user model, which stores the information about each user. This information can include knowledge, interests, goals and tasks, background and skills, behavior, interaction preferences, individual traits, and context of the user. This chapter's goal is to introduce adaptive hypermedia systems fundamentals and trends. In this context, this chapter identifies some methods and techniques used to adapt the content, the presentation, and the navigation of the system. In the end, some applications (ELM-ART, Interbook, AHA!, AdaptWeb®) and trends (standardization, data mining, social web, device adaptation, and gamification) are exposed. As a result, this chapter highlights the importance of the improvement and the use of adaptive systems.
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Background

User model is the representation of information about an individual user, which is essential to make the AH system behave differently according to each user. Based on this model, the AH system can prioritize the most relevant results of a search, manipulate links to facilitate the navigation and present the content adaptively. During the user modeling, the amount and nature of the sorted user information depends on the kind of adaptation effect the AH system has to deliver (i.e., content, presentation and/or navigation) (Brusilovsky & Millán, 2007). The most common stored data are described below based on Brusilovsky & Millán (2007) and Schiaffino & Amandi (2009).

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