Generative Adversarial Framework for Cold-Start Item Recommendation

1 code implementation • SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2022 Pages 2565–2571 2022 • Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li Authors Info & Claims

Embedding-based recommendation models provide recommendations by learning embeddings for each user and item from historical interactions.