2 papers
cs.IR2025
Generative Sequential Recommendation via Hierarchical Behavior Modeling
Zhefan Wang, Guokai Yan, Jinbei Yu +5
Recommender systems in multi-behavior domains, such as advertising and e-commerce, aim to guide users toward high-value but inherently sparse conversions. Leveraging auxiliary beha…
cs.IR2024
Multimodal Difference Learning for Sequential Recommendation
Changhong Li, Zhiqiang Guo
Sequential recommendations have drawn significant attention in modeling the user's historical behaviors to predict the next item. With the booming development of multimodal data (e…