4 papers
RecCoT: Enhancing Recommendation via Chain-of-Thought
Shuo Yang, Jiangxia Cao, Haipeng Li +2
In real-world applications, users always interact with items in multiple aspects, such as through implicit binary feedback (e.g., clicks, dislikes, long views) and explicit feedbac…
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation
Yu Liu, Hanbin Jiang, Lei Zhu +4
In the real world, users always have multiple interests while surfing different services to enrich their daily lives, e.g., watching hot short videos/live streamings. To describe u…
Cross-Domain Sequential Recommendation via Neural Process
Haipeng Li, Jiangxia Cao, Yiwen Gao +2
Cross-Domain Sequential Recommendation (CDSR) is a hot topic in sequence-based user interest modeling, which aims at utilizing a single model to predict the next items for differen…
Enhancing Content-based Recommendation via Large Language Model
Wentao Xu, Qianqian Xie, Shuo Yang +2
In real-world applications, users express different behaviors when they interact with different items, including implicit click/like interactions, and explicit comments/reviews int…