Generative Click-through Rate Prediction with Applications to Search Advertising
Fuente:
arXiv
Saved in:
| Main Authors: | Kong, Lingwei, Wang, Lu, Peng, Changping, Lin, Zhangang, Law, Ching, Shao, Jingping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization
by: Gu, Qiaolei, et al.
Published: (2025)
by: Gu, Qiaolei, et al.
Published: (2025)
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
by: Liu, Zhenhui, et al.
Published: (2025)
by: Liu, Zhenhui, et al.
Published: (2025)
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)
by: Zhou, Chang, et al.
Published: (2024)
CTR-Driven Advertising Image Generation with Multimodal Large Language Models
by: Chen, Xingye, et al.
Published: (2025)
by: Chen, Xingye, et al.
Published: (2025)
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
by: Fan, Zhongxiang, et al.
Published: (2024)
by: Fan, Zhongxiang, et al.
Published: (2024)
Unified Low-rank Compression Framework for Click-through Rate Prediction
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
by: Han, Jiale, et al.
Published: (2025)
by: Han, Jiale, et al.
Published: (2025)
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction
by: Lou, Xingyu, et al.
Published: (2024)
by: Lou, Xingyu, et al.
Published: (2024)
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
by: Pang, Ming, et al.
Published: (2025)
by: Pang, Ming, et al.
Published: (2025)
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
by: Li, Shiwei, et al.
Published: (2022)
by: Li, Shiwei, et al.
Published: (2022)
ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest
by: Li, Jiacheng, et al.
Published: (2026)
by: Li, Jiacheng, et al.
Published: (2026)
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
by: Li, Honghao, et al.
Published: (2025)
by: Li, Honghao, et al.
Published: (2025)
Domain-Aware Cross-Attention for Cross-domain Recommendation
by: Luo, Yuhao, et al.
Published: (2024)
by: Luo, Yuhao, et al.
Published: (2024)
On Predicting Post-Click Conversion Rate via Counterfactual Inference
by: Ahn, Junhyung, et al.
Published: (2025)
by: Ahn, Junhyung, et al.
Published: (2025)
Mutual Learning for Finetuning Click-Through Rate Prediction Models
by: Yilmaz, Ibrahim Can, et al.
Published: (2024)
by: Yilmaz, Ibrahim Can, et al.
Published: (2024)
Generative Recommendation for Large-Scale Advertising
by: Xue, Ben, et al.
Published: (2026)
by: Xue, Ben, et al.
Published: (2026)
Follow the TRACE: Exploiting Post-Click Trajectories for Online Delayed Conversion Rate Prediction
by: Zhang, Xinyue, et al.
Published: (2026)
by: Zhang, Xinyue, et al.
Published: (2026)
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
by: Fei, Ke, et al.
Published: (2024)
by: Fei, Ke, et al.
Published: (2024)
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
by: Li, Yushen, et al.
Published: (2024)
by: Li, Yushen, et al.
Published: (2024)
Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks
by: Yu, Qixuan, et al.
Published: (2024)
by: Yu, Qixuan, et al.
Published: (2024)
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
by: Fan, Yewen, et al.
Published: (2024)
by: Fan, Yewen, et al.
Published: (2024)
GCRank: A Generative Contextual Comprehension Paradigm for Takeout Ranking Model
by: Ni, Ziheng, et al.
Published: (2025)
by: Ni, Ziheng, et al.
Published: (2025)
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
by: Zeng, Zhichen, et al.
Published: (2024)
by: Zeng, Zhichen, et al.
Published: (2024)
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
by: Ouyang, Wentao, et al.
Published: (2024)
by: Ouyang, Wentao, et al.
Published: (2024)
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
by: Wang, Haowen, et al.
Published: (2024)
by: Wang, Haowen, et al.
Published: (2024)
Transformer-based CoVaR: Systemic Risk in Textual Information
by: Chen, Junyu, et al.
Published: (2026)
by: Chen, Junyu, et al.
Published: (2026)
LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)
by: Yun, Peiran, et al.
Published: (2026)
A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
by: Yuan, Chunyuan, et al.
Published: (2025)
by: Yuan, Chunyuan, et al.
Published: (2025)
Location Aware Embedding for Geotargeting in Sponsored Search Advertising
by: Gligorijevic, Jelena, et al.
Published: (2026)
by: Gligorijevic, Jelena, et al.
Published: (2026)
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
by: Li, Quan, et al.
Published: (2025)
by: Li, Quan, et al.
Published: (2025)
Extreme Learning Machines for Fast Training of Click-Through Rate Prediction Models
by: Biçici, Ergun
Published: (2024)
by: Biçici, Ergun
Published: (2024)
JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing
by: Meng, Linghui, et al.
Published: (2026)
by: Meng, Linghui, et al.
Published: (2026)
Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding
by: Zhou, Chang, et al.
Published: (2024)
by: Zhou, Chang, et al.
Published: (2024)
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Lightweight Auto-bidding based on Traffic Prediction in Live Advertising
by: Yang, Bo, et al.
Published: (2025)
by: Yang, Bo, et al.
Published: (2025)
Origin-Conditional Trajectory Encoding: Measuring Urban Configurational Asymmetries through Neural Decomposition
by: Law, Stephen, et al.
Published: (2025)
by: Law, Stephen, et al.
Published: (2025)
Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies
by: Zhu, Lingwei, et al.
Published: (2025)
by: Zhu, Lingwei, et al.
Published: (2025)
Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches
by: Li, Xinyu, et al.
Published: (2026)
by: Li, Xinyu, et al.
Published: (2026)
Similar Items
-
Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization
by: Gu, Qiaolei, et al.
Published: (2025) -
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
by: Liu, Zhenhui, et al.
Published: (2025) -
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024) -
CTR-Driven Advertising Image Generation with Multimodal Large Language Models
by: Chen, Xingye, et al.
Published: (2025) -
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
by: Fan, Zhongxiang, et al.
Published: (2024)