90 citations
- Chinese Academy of SciencesCN7 papers
- University of Chinese Academy of SciencesCN7 papers
- Meituan (China)CN5 papers
- University of Science and Technology of ChinaCN5 papers
- Institute of Computing TechnologyCN4 papers
- Beihang UniversityCN3 papers
- Beijing University of Posts and TelecommunicationsCN3 papers
- China Agricultural UniversityCN3 papers
- China Meat Research CentreCN3 papers
- Institute of SoftwareCN3 papers
- Nanyang Technological UniversitySG3 papers
- National University of SingaporeSG3 papers
46 papers
HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework
Tianxing Bu, Zhaoqi Zhang, Linyou Cai +7
In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optim…
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
Zhaoqi Zhang, Miao Xie, Yi Li +3
As urban environments continue to evolve rapidly, accurately modeling the dynamic behaviour of Points of Interest is essential for supporting data-driven urban planning and commerc…
Dual-Stream MLP is All You Need for CTR Prediction
Kesha Ou, Zhen Tian, Wayne Xin Zhao +3
Click-through rate (CTR) prediction holds a pivotal role in online advertising and recommendation systems, where even small improvements can significantly boost revenue. Existing r…
Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising
Zhaoqi Zhang, Jiaming Deng, Miao Xie +5
Guaranteed display advertising is crucial for platform monetization, yet existing methods often operate under a single-slot assumption, limiting their ability to optimize allocatio…
Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction
Weijiang Lai, Beihong Jin, Di Zhang +5
In recent years, the success of large language models (LLMs) has driven the exploration of scaling laws in recommender systems. However, models that demonstrate scaling laws are ac…
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling
Mingyu Zhao, Haoran Bai, Yu Tian +2
Customer Lifetime Value (LTV) prediction, a central problem in modern marketing, is characterized by a unique zero-inflated and long-tail data distribution. This distribution prese…