The Application of the PSO Based Community Discovery Algorithm in Scientific Paper Management SNS Platform

The development of SNS provides a new platform and application prospect for the realization of Personalized Recommendation System. It is becoming a fire new research hot spot in social science and e-commence about how to apply community discovery algorithm (CDA) to find community structures in large network and to effectively conduct personalized recommendation. In terms of our recent research, we applied PSO based CDA as principle to divide social communities and based on this to conduct personalized recommendation in a scientific paper management system. The system’s running results proved that by applying PSO based CDA, the accuracy of PR and the popularity of the platform had been both improved greatly.

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