1k citations · 1.4k across the 41 of their papers we have counts for
3 papers · 1 filter
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
Xiangyu Zhang, Zongqiang Kuang, Zehao Zhang +2
Cold-start recommendation is one of the major challenges faced by recommender systems (RS). Herein, we focus on the user cold-start problem. Recently, methods utilizing side inform…
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising
Weijie Zhao, Xuewu Jiao, Mingqing Hu +3
Click-Through Rate (CTR) prediction is a crucial component in the online advertising industry. In order to produce a personalized CTR prediction, an industry-level CTR prediction m…
Personalized Re-ranking for Improving Diversity in Live Recommender Systems
Yichao Wang, Xiangyu Zhang, Zhirong Liu +4
Users of industrial recommender systems are normally suggesteda list of items at one time. Ideally, such list-wise recommendationshould provide diverse and relevant options to the…