Computer Science – Multimedia
Scientific paper
2009-10-08
International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 128-134, September 2009, USA
Computer Science
Multimedia
7 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact F
Scientific paper
In this paper, we propose a novel approach to group users according to the VoD user request pattern. We cluster the user requests based on ART1 neural network algorithm. The knowledge extracted from the cluster is used to prefetch the multimedia object from each cluster before the users request. We have developed an algorithm to cluster users according to the users request patterns based on ART1 neural network algorithm that offers an unsupervised clustering. This approach adapts to changes in user request patterns over period without losing previous information. Each cluster is represented as prototype vector by generalizing the most frequently used URLs that are accessed by all the cluster members. The simulation results of our proposed clustering and prefetching algorithm, shows enormous increase in the performance of streaming server. Our algorithm helps the servers agent to learn user preferences and discover the information about the corresponding sources and other similar interested individuals.
Gopalakrishnan Nair T. R.
Jayarekha P.
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