Session Representation

Session representation focuses on effectively encoding user behavior sequences, primarily within e-commerce recommendation systems, to accurately predict future actions. Current research emphasizes improving the capture of user intent by incorporating richer contextual information, such as item attributes and relationships between items, often leveraging graph neural networks and contrastive learning methods to learn robust and informative representations. These advancements aim to overcome limitations of traditional approaches by enhancing recommendation accuracy and interpretability, leading to more personalized and effective online experiences.