15 citations · 30 across the 8 of their papers we have counts for
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cs.IR2025
Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
Junting Wang, Chenghuan Guo, Jiao Yang +3
We study the problem of inferring substitutable and complementary items, which underpins applications such as alternative and follow-up purchase suggestions. Existing approaches ty…
cs.IR2025★ 4 cited
LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
Yunzhe Li, Junting Wang, Hari Sundaram +1
Zero-shot cross-domain sequential recommendation (ZCDSR) enables predictions in unseen domains without additional training or fine-tuning, addressing the limitations of traditional…