Deep Auto Encoder Model With Convolutional Text Networks for Video Recommendation

@article{Yan2019DeepAE,
  title={Deep Auto Encoder Model With Convolutional Text Networks for Video Recommendation},
  author={Wenjie Yan and Dong Wang and M. F. Cao and Jing Liu},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={40333-40346}
}
Collaborative filtering (CF) approach has been successfully used in recommender system (RS). Sparsity and cold start are two common phenomena in the CF algorithms nearly for each data set. Hence, these drawbacks of the classical CF algorithms have limited the recommendation performance. Deep learning theory is a very useful tool to mine the latent features in many scientific areas, such as image processing, video processing, and signal processing. In this paper, a novel deep learning-based… CONTINUE READING

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