A generic adaptivity model in adaptive hypermedia

Authors: De Vrieze, P., Van Bommel, P. and Van Der Weide, T.

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 3137

Pages: 344-347

eISSN: 1611-3349

ISBN: 9783540277804

ISSN: 0302-9743

DOI: 10.1007/978-3-540-27780-4_48

Abstract:

For adaptive hypermedia there is a strong model in form of the AHAM model and the AHA! system. This model, based on the Dexter Model, however is limited to application in hypermedia systems. In this paper we propose a new Generic Adaptivity Model. This state-machine based model can be used as the basis for adaptation in all kinds of applications. © Springer-Verlag; 2004.

http://eprints.bournemouth.ac.uk/13482/

Source: Scopus

A generic adaptivity model in adaptive hypermedia

Authors: de Vrieze, P., van Bommel, P. and van der Weide, T.

Journal: ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS, PROCEEDINGS

Volume: 3137

Pages: 344-347

eISSN: 1611-3349

ISSN: 0302-9743

http://eprints.bournemouth.ac.uk/13482/

Source: Web of Science (Lite)

A Generic Adaptivity Model in Adaptive Hypermedia

Authors: de Vrieze, P.T., van Bommel, P. and van der Weide, T.

Journal: Lecture Notes in Computer Science

Volume: 3137

Pages: 344-347

ISSN: 0302-9743

DOI: 10.1007/978-3-540-27780-4_48

Abstract:

For adaptive hypermedia there is a strong model in form of the AHAM model and the AHA! system. This model, based on the Dexter Model, however is limited to application in hypermedia systems. In this paper we propose a new Generic Adaptivity Model. This statemachine based model can be used as the basis for adaptation in all kinds of applications.

http://eprints.bournemouth.ac.uk/13482/

Source: Manual

Preferred by: Paul De Vrieze

A Generic Adaptivity Model in Adaptive Hypermedia.

Authors: Vrieze, P.D., Bommel, P.V. and Weide, T.P.V.D.

Editors: Bra, P.D. and Nejdl, W.

Journal: AH

Volume: 3137

Pages: 344-347

Publisher: Springer

http://eprints.bournemouth.ac.uk/13482/

https://doi.org/10.1007/b99480

Source: DBLP