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| Titel: |
A framework for performance evaluation of user modeling servers for Web applications |
| Auteur: |
Zadorozhny, Vladimir Yudelson, Michael Brusilovsky, Peter |
| Verschenen in: |
Web intelligence and agent systems |
| Paginering: | Jaargang 6 (2008) nr. 2 pagina's 175-191 |
| Jaar: |
2008-07-15 |
| Inhoud: |
Adaptive Web systems utilize user models (or group models) to represent essential information about an individual user (or a group) so that these systems can adapt their behavior to the goals, tasks, interests, and other features of individual users or groups of users. Meanwhile, proper performance assessment has become a critical issue for the efficient deployment of adaptive Web systems that implement complex user model inferences. This paper presents one of the first efforts to develop a framework for evaluating the performance of user modeling servers (UMS). We conduct a performance-driven analysis of the UMS conceptual model, extracting a comprehensive set of parameters in order to build a practical UMS Performance Evaluation Framework (UMS/PEF). We also apply the proposed UMS/PEF framework for comparing performances between different UMS. Experimental results have demonstrated high utility of the proposed UMS/PEF framework. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 4 van 65 gevonden artikelen
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