Adaptive HyperText and Hypermedia
Adaptive HyperText and Hypermedia
Adaptive User Interfaces: Principles and Practice
Adaptive User Interfaces: Principles and Practice
Cheese: tracking mouse movement activity on websites, a tool for user modeling
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
Proceedings of the 15th international conference on World Wide Web
A Rule-based Approach to Content Delivery Adaptation in Web Information Systems
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Rule based GUI modification and adaptation
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Sequential event pattern based context-aware adaptation
Proceedings of the Second Asia-Pacific Symposium on Internetware
Rule based framework for intelligent GUI adaptation
Proceedings of the 12th International Conference on Computer Systems and Technologies
Rule-based context-aware adaptation using a goal-oriented ontology
Proceedings of the 2011 international workshop on Situation activity & goal awareness
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In this paper we present a comparative study of performance of an adaptive e-banking Web application supporting personalization either on a client or on a server side. Currently, modern applications being developed support various kinds of personalization. One of its types is changing behavior and appearance in response to actions taken by a user. Not only pre-defined rules but also new patterns discovered for different levels of events should be applied. Scaling such "interactive" applications to a large number of users is challenging. First, the stream of events generated by users' actions may be huge, and second, processing of the adaptation rules per single user requires computing resources that multiply with the number of users. This paper reports on the efficiency of the method enabling a client-side adaptation after moving adaptation logics from a server to a client.