Chuhang Hong

SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation

With the booming development of multimodal data (e.g., image, text) on internet platforms, multimodal sequential recommendation methods continue to emerge. Most existing methods incorporate item modal features as auxiliary information, typically concatenating them to learn unified user representatio