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In this paper, we propose a novel approach to group users according to theVoD user request pattern. We cluster the user requests based on ART1 neuralnetwork algorithm. The knowledge extracted from the cluster is used to prefetchthe multimedia object from each cluster before the users request. We havedeveloped an algorithm to cluster users according to the users request patternsbased on ART1 neural network algorithm that offers an unsupervised clustering.This approach adapts to changes in user request patterns over period withoutlosing previous information. Each cluster is represented as prototype vector bygeneralizing the most frequently used URLs that are accessed by all the clustermembers. The simulation results of our proposed clustering and prefetchingalgorithm, shows enormous increase in the performance of streaming server. Ouralgorithm helps the servers agent to learn user preferences and discover theinformation about the corresponding sources and other similar interestedindividuals.

Prefetching of VoD Programs Based On ART1 Requesting Clustering