• Corpus ID: 52982627

Neural Variational Hybrid Collaborative Filtering

@article{Xiao2018NeuralVH,
  title={Neural Variational Hybrid Collaborative Filtering},
  author={Teng Xiao and Shangsong Liang and Hong Shen and Zaiqiao Meng},
  journal={ArXiv},
  year={2018},
  volume={abs/1810.05376}
}
Collaborative Filtering (CF) is one of the most used methods for Recommender System. Because of the Bayesian nature and nonlinearity, deep generative models, e.g. Variational Autoencoder (VAE), have been applied into CF task, and have achieved great performance. However, most VAE-based methods suffer from matrix sparsity and consider the prior of users' latent factors to be the same, which leads to poor latent representations of users and items. Additionally, most existing methods model latent… 

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