作者位次 #2/6SIGIR 2026Oral· Information Retrieval (Full)
Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
Junting Wang · Chenghuan Guo · Yang Jiao · Yanhui Guo · Hari Sundaram · Yan Gao
摘要
We study the problem of inferring substitutable and complementary items, which underpins applications such as alternative and follow-up purchase suggestions. Existing approaches typically learn from behavior-derived item-item associations using GNNs or leverage item content alone. However, these...