Personalised hypermedia presentation techniques for improving online customer relationships

By Alfred Kobsa, Jürgen Koenemann, Wolfgang Pohl. Knowledge engineering review (Print), 2001

646 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e332aa0cfce5d098600b9454d8ca3acdc4e8306c

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Citations in the corpus

The Psychological Appeal of Personalized Content in Web Portals: Does Customization Affect Attitudes and Behavior? (2006, background): “In the Web environment, a customized or personalized Web interface is a system that modifies itself according to specific user input or user navigation and then provides information that is tailored to the user as a unique individual ( Kobsa, Koenemann, & Pohl, 2001 ).”
Generic User Modeling Systems (2001, background): “When in the mid-nineties useradaptive application systems shifted towards different domains with less demanding user modeling requirements (like user-adaptive learning environments that are described in Chapters 1 and 22 of this book [10, 31], as well as personalized web sites [ 53 ]), such highly e”
A Taxonomy of Recommender Agents on the Internet (2003, background): “Stereotyping is based on the fact that creating an initial model is, in a sense, a classiﬁcation problem, aimed at generating initial predictions about the user (Kobsa et al. 2001).”
Scrutable Adaptation: Because We Can and Must (2006, background): “There is already considerable personalisation of web applications [2].”
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE (2003, background): “Also, according to Kobsa et al. (2001) there are different basic types of adaptation depending on the amount of control a user has over the adaptation.”
Web Usage Mining as a Tool for Personalization: A Survey (2003, methodology): “This value is attained by a variety of functions that can be o¡ered by a Web personalization system, which make the interaction with the Web site easier, saving users’ time, and hence satisfying one of the main goals of Web sites: the creation of loyal visitors.”
Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment (2005, background): “• Customization should not only be made about the choice of learning items, but also about their delivery [7].”