7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework
Yunfei Yang, Zhenghao Qi, Honghuan Wu +6
Video recommender systems (RSs) have gained increasing attention in recent years. Existing mainstream RSs focus on optimizing the matching function between users and items. However…
cs.LG2021
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
Xiangru Lian, Binhang Yuan, Xuefeng Zhu +24
Deep learning based models have dominated the current landscape of production recommender systems. Furthermore, recent years have witnessed an exponential growth of the model scale…
cs.IR2021★ 7 cited
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
Shangfeng Dai, Haobin Lin, Zhichen Zhao +5
Recommendation for new users, also called user cold start, has been a well-recognized challenge for online recommender systems. Most existing methods view the crux as the lack of i…