12 citations · 22 across the 16 of their papers we have counts for
4 papers · 1 filter
Recurrent Temporal Revision Graph Networks
Yizhou Chen, Anxiang Zeng, Guangda Huzhang +6
Temporal graphs offer more accurate modeling of many real-world scenarios than static graphs. However, neighbor aggregation, a critical building block of graph networks, for tempor…
A General Traffic Shaping Protocol in E-Commerce
Chenlin Shen, Guangda Huzhang, Yuhang Zhou +2
To approach different business objectives, online traffic shaping algorithms aim at improving exposures of a target set of items, such as boosting the growth of new commodities. Ge…
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Xuesi Wang, Guangda Huzhang, Qianying Lin +1
Ensemble models in E-commerce combine predictions from multiple sub-models for ranking and revenue improvement. Industrial ensemble models are typically deep neural networks, follo…
AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online
Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao +8
Learning-to-rank (LTR) has become a key technology in E-commerce applications. Most existing LTR approaches follow a supervised learning paradigm from offline labeled data collecte…