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Design issues for general-purpose adaptive hypermedia systems
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Source Conference on Hypertext and Hypermedia archive
Proceedings of the 12th ACM conference on Hypertext and Hypermedia table of contents
Århus, none, Denmark
Session: 4a---Adaptive Hypertext table of contents
Pages: 141 - 150  
Year of Publication: 2001
ISBN:1-59113-420-7
Authors
Hongjing Wu  Eindhoven University of Technology
Erik de Kort  Eindhoven University of Technology
Paul De Bra  Eindhoven University of Technology
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
AIAS : Alexandra Instituttet A/S
HYPE : Hypergenic
CCTAS : Costas Computer Technology A/S
JDI : Journal of Digital Information
SA : Scandinavian Airlines
UAARHUS : University of Aarhus
DANSKEB : Danske Bank
TT : Tool-tribe
ARHUSK : Arhus Kommune
ARHUSA : Arhus Amt
WMD : WM-Data
KSI : Knowledge Systems Inc.
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 74,   Citation Count: 9
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ABSTRACT

A hypermedia application offers its users much freedom to navigate through a large hyperspace. For authors finding a good compromise between offering navigational freedom and offering guidance is difficult, especially in applications that target a broad audience. Adaptive hypermedia (AH) offers (automatically generated) personalized content and navigation support, so the choice between freedom and guidance can be made on an individual basis. Many adaptive hypermedia systems (AHS) are tightly integrated with one specific application. In this paper we study design issues for general-purpose adaptive hypermedia systems, built according to an application-independent architecture. We use the Dexter-based AHAM reference model for adaptive hypermedia [7] to describe the functionality of such systems at the conceptual level. We concentrate on the architecture and behavior of a general-purpose adaptive engine. Such an engine performs adaptation and updates the user model according to a set of adaptation rules specified in an adaptation model. In our study of the behavior of such a system we concentrate on the issues of termination and confluence, which are important to detect potential problems in an adaptive hypermedia application. We draw parallels with static rule analysis in active database systems [1,2]. By using common properties of AIIS we are able to obtain more precise (less conservative) results for AHS than for active databases in general, especially for the problem of termination.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Brusilovsky, P. Methods and Techniques of Adaptive Hypermedia. User Modeling and User-Adapted Interaction, 6, pp. 87-129, 1996. (Reprinted in Adaptive Hypertext and Hypermedia, Kluwer Academic Publishers, pp. 1-43, 1998.)
 
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Baralis, E., Ceri, S., Paraboschi, S. ARACHNE: A tool for the analysis of active rules. Proceedings of the Second International Conference on Applications of Databases, pp. 68-81, (Santa Clara, December 1995).
 
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De Bra, P., Calvi, L. AHA! An open Adaptive Hypermedia Architecture. The New Review of Hypermedia and Multimedia, pp. 115-139, 1998.
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Halasz, F., Schwartz, M. The Dexter Reference Model. Proceedings of the NIST Hypertext Standardization Workshop, pp. 95-133, 1990.
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Hothi, J., Hall, W. An Evaluation of Adapted Hypermedia Techniques Using Static User Modeling. Proceedings of the Second Workshop on Adaptive Hypertext and Hypermedia, pp. 45-50, 1998.
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CITED BY  9
 
 

Collaborative Colleagues:
Hongjing Wu: colleagues
Erik de Kort: colleagues
Paul De Bra: colleagues

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