86 citations · 89 across the 2 of their papers we have counts for
3 papers
cs.IR2024★ 86 cited
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
Langming Liu, Xiangyu Zhao, Chi Zhang +7
Transformer models have achieved remarkable success in sequential recommender systems (SRSs). However, computing the attention matrix in traditional dot-product attention mechanism…
cs.IR2023★ 3 cited
Cross-domain recommendation via user interest alignment
Chuang Zhao, Hongke Zhao, Ming He +2
Cross-domain recommendation aims to leverage knowledge from multiple domains to alleviate the data sparsity and cold-start problems in traditional recommender systems. One popular…
cs.CV2017
Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition
Tianyi Zhao, Baopeng Zhang, Wei Zhang +3
In this paper, a level-wise mixture model (LMM) is developed by embedding visual hierarchy with deep networks to support large-scale visual recognition (i.e., recognizing thousands…