Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

@article{Li2015DeepCF,
  title={Deep Collaborative Filtering via Marginalized Denoising Auto-encoder},
  author={Sheng Li and Jaya Kawale and Yun Raymond Fu},
  journal={Proceedings of the 24th ACM International on Conference on Information and Knowledge Management},
  year={2015}
}
  • Sheng Li, Jaya Kawale, Y. Fu
  • Published 17 October 2015
  • Computer Science
  • Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Collaborative filtering (CF) has been widely employed within recommender systems to solve many real-world problems. [] Key Method Deep learning models have emerged as very appealing in learning effective representations in many applications. In particular, we propose a general deep architecture for CF by integrating matrix factorization with deep feature learning.
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375 Citations

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