Abstract
After many years of hypertext research, the Dexter model was defined [7] to capture the features of most existing hypertext systems in a single, formal reference model. Likewise, the AHAM model [5] (based on Dexter) describes most features that are found in adaptive hypermedia systems (ahs). In the AHA! project funded by the NLnet Foundation we are extending the simple AHA system [4, 6] with the condition-action rules that were introduced in AHAM [8]. This results in a more versatile adaptation engine, with more intuitive and more powerful rules. © 2002 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
De Bra, P., Aerts, A., Smits, D., & Stash, N. (2002). AHA! meets AHAM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2347 LNCS, pp. 388–391). Springer Verlag. https://doi.org/10.1007/3-540-47952-x_44
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