Author:
KOBSA ALFRED,KOENEMANN JÜRGEN,POHL WOLFGANG
Abstract
This article gives a comprehensive overview of techniques for personalised hypermedia presentation. It describes the data about the computer user, the computer usage and the physical environment that can be taken into account when adapting
hypermedia pages to the needs of the current user. Methods for acquiring these data, for representing them as models in formal systems and for making generalisations and predictions about the user based thereon are discussed. Different types of hypermedia adaptation to the individual user's needs are distinguished and recommendations for
further research and applications given. While the focus of the article is on hypermedia adaptation for improving customer relationship management utilising the World Wide Web, many of the techniques and distinctions also apply to other types of personalised hypermedia applications within and outside the World Wide Web, like adaptive educational systems.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Software
Cited by
286 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sosyal Medyada Psikopolitik Pazarlama: Seçmen Davranışı Üzerine Araştırma;Current Perspectives in Social Sciences;2024-03-25
2. Mobile Applications in Smart Tourism: Implementing User Modelling;Intelligent Systems Reference Library;2024
3. Human Factors in User Modeling for Intelligent Systems;Human–Computer Interaction Series;2024
4. AI in Education, Learner Control, and Human-AI Collaboration;International Journal of Artificial Intelligence in Education;2023-08-21
5. Social Network Data Enabling Smart Tourism;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10