3 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Hierarchical Group-wise Ranking Framework for Recommendation Models
YaChen Yan, Liubo Li, Ravi Choudhary
In modern recommender systems, CTR/CVR models are increasingly trained with ranking objectives to improve item ranking quality. While this shift aligns training more closely with s…
RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
YaChen Yan, Liubo Li
In large-scale ranking systems, cascading architectures have been widely adopted to achieve a balance between efficiency and effectiveness. The pre-ranking module plays a vital rol…
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
YaChen Yan, Liubo Li
Learning feature interactions is crucial to success for large-scale CTR prediction in recommender systems and Ads ranking. Researchers and practitioners extensively proposed variou…
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
YaChen Yan, Liubo Li
Learning feature interactions is the key to success for the large-scale CTR prediction in Ads ranking and recommender systems. In industry, deep neural network-based models are wid…