1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Discreetly Exploiting Inter-session Information for Session-based Recommendation
Zihan Wang, Gang wu, Haotong Wang
Limited intra-session information is the performance bottleneck of the early GNN based SBR models. Therefore, some GNN based SBR models have evolved to introduce additional inter-s…
cs.IR2023
Dual-Granularity Contrastive Learning for Session-based Recommendation
Zihan Wang, Gang Wu, Haotong Wang
Session-based recommendation systems(SBRS) are more suitable for the current e-commerce and streaming media recommendation scenarios and thus have become a hot topic. The data enco…
cs.IR2022★ 1 cited
Effectively Using Long and Short Sessions for Multi-Session-based Recommendations
Zihan Wang, Gang Wu, Yan Wang
It is not accurate to make recommendations only based one single current session. Therefore, multi-session-based recommendation(MSBR) is a solution for the problem. Compared with t…