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Multi-Criteria Recommender Systems Using ANN and PSO by sidi.elveth88 is a document available to read on EtoBox.

This article discusses the development of a multi-criteria recommender system that utilizes artificial neural networks trained with particle swarm optimization algorithms to enhance recommendation accuracy. It addresses the limitations of traditional single rating systems by incorporating multiple criteria ratings, thereby improving user preference modeling. Empirical results indicate that the proposed model outperforms existing recommendation techniques in terms of prediction accuracy, particularly in the

Author

sidi.elveth88

Language

EN