Privileged Graph Distillation for Cold Start Recommendation

@article{Wang2021PrivilegedGD,
  title={Privileged Graph Distillation for Cold Start Recommendation},
  author={Shuai Wang and Kun Zhang and Le Wu and Haiping Ma and Richang Hong and Meng Wang},
  journal={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2021}
}
  • Shuai Wang, Kun Zhang, +3 authors Meng Wang
  • Published 2021
  • Computer Science
  • Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
The cold start problem in recommender systems is a long-standing challenge, which requires recommending to new users (items) based on attributes without any historical interaction records. In these recommendation systems, warm users (items) have privileged collaborative signals of interaction records compared to cold start users (items), and these Collaborative Filtering (CF) signals are shown to have competing performance for recommendation. Many researchers proposed to learn the correlation… Expand

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