A hybrid content-based clustering architecture: minimising uncertainty in personalised multimedia content

摘要

This paper aims at demonstrating the validity of a hybrid content-based clustering architecture that combines personalisation techniques. The paper describes a hybrid content-based clustering architecture for adaptive web-sites using an advanced personalisation process, emphasising in personalising multimedia content. The overall personalisation process is described following all stages and the experimental results and statistical analysis presented indicate that this architecture achieves more successful recommendations, thus reduces uncertainty of recommendations. Finally, this paper suggests the enhancement of the current hybrid filtering process by employing fuzzy logic for improving the profiling system and user modelling, therefore reducing the uncertainty level even further.