1 code implementation • 5 Apr 2022 • Ansong Li
The SOTA methods in SBR employ GNN to model neighboring item transitions from global (i. e, other sessions) and local (i. e, current session) contexts.
1 code implementation • 10 Jan 2022 • Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng
The session embedding is then generated by aggregating the item embeddings with attention weights of each item's factors.