Probabilistic neural network approach to alleviate sparsity and cold start problems in collaborative recommender systems

@article{Devi2010ProbabilisticNN,
  title={Probabilistic neural network approach to alleviate sparsity and cold start problems in collaborative recommender systems},
  author={M. K. Kavitha Devi and Rodina Samy and S. Vinoth Kumar and P. Venkatesh},
  journal={2010 IEEE International Conference on Computational Intelligence and Computing Research},
  year={2010},
  pages={1-4}
}
Collaborative Recommender system helps the online users to identify the right product during electronic purchasing. The collaborative recommender system identifies the similar users based on the purchasing or rating behavior to the active user and then recommends the product based on the similar users. Collaborative recommender system is widely used in majority of the existing online recommender system such as orkut, google, amazon, walmart etc. Besides it popularity, is suffers due to sparsity… CONTINUE READING
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