2 papers
cs.IR2026
Generative Long-term User Interest Modeling for Click-Through Rate Prediction
Jiangli Shao, Kaifu Zheng, Hao Fang +5
Modeling long-term user interests with massive historical user behaviors enhances click-through rate (CTR) prediction performance in advertising and recommendation systems. Typical…
cs.LG2025
An Efficient Embedding Based Ad Retrieval with GPU-Powered Feature Interaction
Yifan Lei, Jiahua Luo, Tingyu Jiang +7
In large-scale advertising recommendation systems, retrieval serves as a critical component, aiming to efficiently select a subset of candidate ads relevant to user behaviors from…