Hierarchical collaborative embedding for context-aware recommendations

@article{Zheng2017HierarchicalCE,
  title={Hierarchical collaborative embedding for context-aware recommendations},
  author={Lei Zheng and Bokai Cao and Vahid Noroozi and Philip S. Yu and Nianzu Ma},
  journal={2017 IEEE International Conference on Big Data (Big Data)},
  year={2017},
  pages={867-876}
}
In a variety of recommender systems, items, such as news or articles, are associated with text. Most of previous recommender systems learn item embeddings from the textual content by utilizing the bag-of-words technique. However, due to its limited ability to capture semantic meanings in the text, these methods lead to the shallow modeling of items. Recently proposed deep learning based methods try to overcome the limitation by leveraging Recurrent Neural Networks (RNN). Suffering from the… CONTINUE READING

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