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cs.IR2026
A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential Recommendation
Hyeongjun Yun, Kihyuk Song, Jaegul Choo +1
Cross-Domain Sequential Recommendation (CDSR) predicts the next item a user will interact with based on their historical interaction sequences across multiple domains. Recent appro…
cs.IR2026
Towards Trustworthy LLM-Based Recommendation via Rationale Integration
Chung Park, Taesan Kim, Hyeongjun Yun +7
Traditional recommender systems (RS) have been primarily optimized for accuracy and short-term engagement, often overlooking transparency and trustworthiness. Recently, platforms s…
cs.IR2024
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
Chung Park, Taesan Kim, Hyungjun Yoon +5
Cross-Domain Sequential Recommendation (CDSR) improves recommendation performance by utilizing information from multiple domains, which contrasts with Single-Domain Sequential Reco…