Original paper
Decoupled Side Information Fusion for Sequential Recommendation
Published: Jul 6, 2022
Abstract
Side information fusion for sequential recommendation (SR) aims to effectively leverage various side information to enhance the performance of next-item prediction. Most state-of-the-art methods build on self-attention networks and focus on exploring various solutions to integrate the item embedding and side information embeddings before the attention layer. However, our analysis shows that the early integration of various types of embeddings...
Paper Details
Title
Decoupled Side Information Fusion for Sequential Recommendation
Published Date
Jul 6, 2022