Personalization of web based interactive systems using computational intelligence techniques

Abstract

The research presented in this paper focuses on personalization of WBIS using computational intelligence (CI) methods. The scope of this research is first given and then developments in each aspect are explained. Taxonomy for personalization of WBIS using eight identified CI techniques is presented. Comparison of these eight CI techniques is made and reasons given for selection of a neuro-swarm hybrid CI model for investigation of personalization. A created MATLAB add-in for implementation of this neuro-swarm model is then used to show superior performance of PSO over backpropagation for NN training. A model for personalization of eLearning systems by neuro-swarm determination of learning style is presented. Results of a simulation for the personalization of the structure of a course in Moodle, using the neuro-swarm model, are then given.