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cs.IR2025
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
Fan Hu, Gaofeng Lu, Jun Chen +3
Feature selection has emerged as a crucial technique in refining recommender systems. Recent advancements leveraging Automated Machine Learning (AutoML) has drawn significant atten…
cs.IR2025
Practice on Long Behavior Sequence Modeling in Tencent Advertising
Xian Hu, Ming Yue, Zhixiang Feng +24
Long-sequence modeling has become an indispensable frontier in recommendation systems for capturing users' long-term preferences. However, user behaviors within advertising domains…