2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
IJCAI 2022poster
Self-attention models have achieved state-of-the-art performance in sequential recommender systems by capturing the sequential dependencies among user-item interactions. However, they rely on positional embeddings to retain the sequential information, which may break the semantics of item embeddings…