Applying Clustering Algorithms to Web-based Adaptive Virtual Environments

G. Lepouras
to appear in Journal of Computational Methods in Sciences and Engineering

The emergence of the World Wide Web during the past few years has provided a medium for communicating information faster and to more people than before. The technologies used allow for the development of personalised, adaptive to the users’ needs, information systems. So far, the complexity of the design and implementation of Virtual Environments has restricted their usage in locally executed, stand-alone applications. In this paper we propose an architecture that permits and facilitates the dynamic, on-the-fly creation of Virtual Environments on the Web that adapt to the users’ preferences and profiles. We focus on the algorithms available for creating an efficient virtual environment generation engine. We illustrate the proposed architecture with examples from a case study of a Virtual Museum.

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