5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 5 cited
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
Zhichao Feng, Junjiie Xie, Kaiyuan Li +7
In the recommender system of Meituan Waimai, we are dealing with ever-lengthening user behavior sequences, which pose an increasing challenge to modeling user preference effectivel…
cs.LG2023
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)
Guo-qing Jiang, Jinlong Liu, Zixiang Ding +2
As models for nature language processing (NLP), computer vision (CV) and recommendation systems (RS) require surging computation, a large number of GPUs/TPUs are paralleled as a la…
cs.IR2023★ 1 cited
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
Bin Yin, Junjie Xie, Yu Qin +4
The analysis and mining of user heterogeneous behavior are of paramount importance in recommendation systems. However, the conventional approach of incorporating various types of h…