Deep social collaborative filtering

@article{Fan2019DeepSC,
  title={Deep social collaborative filtering},
  author={Wenqi Fan and Y. Ma and Dawei Yin and J. Wang and Jiliang Tang and Q. Li},
  journal={Proceedings of the 13th ACM Conference on Recommender Systems},
  year={2019}
}
  • Wenqi Fan, Y. Ma, +3 authors Q. Li
  • Published 2019
  • Computer Science
  • Proceedings of the 13th ACM Conference on Recommender Systems
Recommender systems are crucial to alleviate the information overload problem in online worlds. Most of the modern recommender systems capture users' preference towards items via their interactions based on collaborative filtering techniques. In addition to the user-item interactions, social networks can also provide useful information to understand users' preference as suggested by the social theories such as homophily and influence. Recently, deep neural networks have been utilized for social… Expand
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