ABXI: invariant interest adaptation for task-guided cross-domain sequential recommendation

• Main Authors: Bian, Qingtian, de Carvalho, Marcus, Li, Tieying, Xu, Jiaxing, Fang, Hui, Ke, Yiping
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Recommender systems; Cross-domain sequential recommendation; Low-rank adaptation
• Online Access: https://www2025.thewebconf.org/poster-session; https://hdl.handle.net/10356/182833; https://github.com/DiMarzioBian/ABXI; https://www2025.thewebconf.org/

Cross-Domain Sequential Recommendation (CDSR) has recently gained attention for countering data sparsity by transferring knowledge across domains. A common approach merges domain-specific sequences into cross-domain sequences, serving as bridges to connect domains. One key challenge is to correctly...