Interacting with Computers
Dynamic adaptation of hypertext structure
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
Algorithmic learning
Evaluating the utility and usability of an adaptive hypermedia system
Proceedings of the 2nd international conference on Intelligent user interfaces
Context-sensitive filtering for browsing in hypertext
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Visualizing and assessing navigation in hypertext
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
A computational model and classification framework for social navigation
Proceedings of the 6th international conference on Intelligent user interfaces
Exploring Versus Exploiting when Learning User Models for Text Recommendation
User Modeling and User-Adapted Interaction
Machine Learning
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Adaptive feedback generation to support teachers in web-based distance education
User Modeling and User-Adapted Interaction
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Personalization in e-learning: the adaptive system vs. the intelligent agent approaches
Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility
ACM Transactions on Information Systems (TOIS)
IEICE - Transactions on Information and Systems
Topic development pattern analysis-based adaptation of information spaces
The New Review of Hypermedia and Multimedia - Adaptive Hypermedia
Open corpus adaptive educational hypermedia
The adaptive web
A fully personalization strategy of E-learning scenarios
Computers in Human Behavior
International Journal of Advanced Intelligence Paradigms
A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques
Information Processing and Management: an International Journal
Generating a two-phase lesson for guiding beginners to learn basic dance movements
Computers & Education
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One problem that commonly faces hypertext users, particularly in educational situations, is the difficulty of identifying pages of information most relevant to their current goals or interests. In this paper, we discuss the technical feasibility and the utility of applying machine learning algorithms to generate personalised adaptation on the basis of a user's browsing history in hypertext, without additional input from the user. In order to investigate the viability of this approach, we developed a Web-based information system called MLTutor. The design of MLTutor aims to remove the need for pre-defined user profiles and replace them with a dynamic user profile-building scheme in order to provide individual adaptation. In MLTutor, this adaptation is achieved by a combination of conceptual clustering and inductive machine learning algorithms. An evaluation technique that probes the detailed effectiveness of the adaptation is presented. The use of dynamic user profiles has been shown to be technically feasible; however, while a superficial evaluation indicates that it is educationally effective, the more thorough evaluation performed here shows that the positive results may be attributed to other causes. This demonstrates the need for thorough evaluation of adaptive hypertext systems.