Deep social collaborative filtering

  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},
  • 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
14 Citations
Dual Side Deep Context-aware Modulation for Social Recommendation
  • PDF
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
  • 5
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Attentive Social Recommendation: Towards User And Item Diversities
  • Highly Influenced
  • PDF
RMPD: Method for Enhancing the Robustness of Recommendations With Attack Environments
  • PDF
NetTrans: Neural Cross-Network Transformation
  • 1
  • PDF
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
  • 1
  • PDF


Neural Collaborative Filtering
  • 1,814
  • Highly Influential
  • PDF
Graph Convolutional Matrix Completion
  • 369
  • Highly Influential
  • PDF
Probabilistic Matrix Factorization
  • 3,308
  • Highly Influential
  • PDF
Neural Machine Translation by Jointly Learning to Align and Translate
  • 15,328
  • Highly Influential
  • PDF
Neural collaborative fltering
  • In Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee,
  • 2017
The role of social networks in information difusion
  • In World Wide Web conference
  • 2012