High performance feature selection algorithms using filter method for cloud-based recommendation system

@article{Muthusankar2018HighPF,
  title={High performance feature selection algorithms using filter method for cloud-based recommendation system},
  author={D. Muthusankar and B. Kalaavathi and P. Kaladevi},
  journal={Cluster Computing},
  year={2018},
  volume={22},
  pages={311-322}
}
In cloud-based recommendation system, the feature selection is implemented to reduce the large dimension of the cloud data. The feature selection increases the performance of the recommendation system without affecting the accuracy of the system. In this paper two filter model based algorithms SFS and MSFS are proposed to extract the necessary features for the recommendation system. The state of the art Naive bayes classification algorithm is used to evaluate the performance of the feature… CONTINUE READING

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