Joint Deep Modeling of Users and Items Using Reviews for Recommendation

  title={Joint Deep Modeling of Users and Items Using Reviews for Recommendation},
  author={Lei Zheng and Vahid Noroozi and Philip S. Yu},
A large amount of information exists in reviews written by users. This source of information has been ignored by most of the current recommender systems while it can potentially alleviate the sparsity problem and improve the quality of recommendations. In this paper, we present a deep model to learn item properties and user behaviors jointly from review text. The proposed model, named Deep Cooperative Neural Networks (DeepCoNN), consists of two parallel neural networks coupled in the last… CONTINUE READING
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