Empowering Denoising Sequential Recommendation with Large Language Model Embeddings

Tongzhou Wu, Yuhao Wang, Maolin Wang +2

Sequential recommendation aims to capture user preferences by modeling sequential patterns in user-item interactions. However, these models are often influenced by noise such as ac…