Knowledge Distillation

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Recently, the embedding-based recommendation models (e.g., matrix factorization and deep models) are prevalent in both academia and industry due to their effectiveness and flexibility. However, they also have such intrinsic limitations as lacking …