EGA-V1: Unifying Online Advertising with End-to-End Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Qiu, Junyan, Wang, Ze, Zhang, Fan, Zheng, Zuowu, Zhu, Jile, Fan, Jiangke, Zhang, Teng, Wang, Haitao, Wang, Yongkang, Wang, Xingxing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EGA-V2: An End-to-end Generative Framework for Industrial Advertising
by: Zheng, Zuowu, et al.
Published: (2025)
by: Zheng, Zuowu, et al.
Published: (2025)
Vertical Semi-Federated Learning for Efficient Online Advertising
by: Li, Wenjie, et al.
Published: (2022)
by: Li, Wenjie, et al.
Published: (2022)
NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems
by: Zheng, Zuowu, et al.
Published: (2025)
by: Zheng, Zuowu, et al.
Published: (2025)
HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
by: Chen, Shuwei, et al.
Published: (2025)
by: Chen, Shuwei, et al.
Published: (2025)
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
by: Guo, Xian, et al.
Published: (2025)
by: Guo, Xian, et al.
Published: (2025)
Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)
by: Zheng, Kehan, et al.
Published: (2026)
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
by: Chen, Ben, et al.
Published: (2025)
by: Chen, Ben, et al.
Published: (2025)
Differentiable Geometric Indexing for End-to-End Generative Retrieval
by: Wang, Xujing, et al.
Published: (2026)
by: Wang, Xujing, et al.
Published: (2026)
Countering Mainstream Bias via End-to-End Adaptive Local Learning
by: Pan, Jinhao, et al.
Published: (2024)
by: Pan, Jinhao, et al.
Published: (2024)
Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan
by: Wang, Shuli, et al.
Published: (2026)
by: Wang, Shuli, et al.
Published: (2026)
Unified Value Alignment for Generative Recommendation in Industrial Advertising
by: Zhang, Xinxun, et al.
Published: (2026)
by: Zhang, Xinxun, et al.
Published: (2026)
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
by: Wang, Huanjie, et al.
Published: (2026)
by: Wang, Huanjie, et al.
Published: (2026)
UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization
by: Li, Jialei, et al.
Published: (2026)
by: Li, Jialei, et al.
Published: (2026)
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
by: Ke, Xiaojie, et al.
Published: (2026)
by: Ke, Xiaojie, et al.
Published: (2026)
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)
by: Liu, Langming, et al.
Published: (2025)
On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)
by: Ding, Chenlu, et al.
Published: (2025)
OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
by: Zhang, Kun, et al.
Published: (2026)
by: Zhang, Kun, et al.
Published: (2026)
Deep Situation-Aware Interaction Network for Click-Through Rate Prediction
by: Lv, Yimin, et al.
Published: (2026)
by: Lv, Yimin, et al.
Published: (2026)
ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval
by: Liu, Yuxuan, et al.
Published: (2024)
by: Liu, Yuxuan, et al.
Published: (2024)
An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation
by: He, Tiantian, et al.
Published: (2025)
by: He, Tiantian, et al.
Published: (2025)
Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)
by: Wang, Yunli, et al.
Published: (2024)
You Only Evaluate Once: A Tree-based Rerank Method at Meituan
by: Wang, Shuli, et al.
Published: (2025)
by: Wang, Shuli, et al.
Published: (2025)
Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)
by: Liu, Enze, et al.
Published: (2024)
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
by: Wei, Penghui, et al.
Published: (2022)
by: Wei, Penghui, et al.
Published: (2022)
End-to-End Personalization: Unifying Recommender Systems with Large Language Models
by: Ebrat, Danial, et al.
Published: (2025)
by: Ebrat, Danial, et al.
Published: (2025)
Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
by: Li, Na, et al.
Published: (2026)
by: Li, Na, et al.
Published: (2026)
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling
by: Li, Kaiyuan, et al.
Published: (2025)
by: Li, Kaiyuan, et al.
Published: (2025)
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System
by: Balaka, Muhammad Imam Luthfi, et al.
Published: (2025)
by: Balaka, Muhammad Imam Luthfi, et al.
Published: (2025)
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)
by: Huang, Siyuan, et al.
Published: (2025)
Exploring Scaling Laws of CTR Model for Online Performance Improvement
by: Lai, Weijiang, et al.
Published: (2025)
by: Lai, Weijiang, et al.
Published: (2025)
LASER: An Efficient Target-Aware Segmented Attention Framework for End-to-End Long Sequence Modeling
by: Lin, Tianhe, et al.
Published: (2026)
by: Lin, Tianhe, et al.
Published: (2026)
Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
by: Guan, Lin, et al.
Published: (2025)
by: Guan, Lin, et al.
Published: (2025)
DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
by: Yin, Junwei, et al.
Published: (2026)
by: Yin, Junwei, et al.
Published: (2026)
MBGR: Multi-Business Prediction for Generative Recommendation at Meituan
by: Li, Changhao, et al.
Published: (2026)
by: Li, Changhao, et al.
Published: (2026)
LEMUR: Large scale End-to-end MUltimodal Recommendation
by: Han, Xintian, et al.
Published: (2025)
by: Han, Xintian, et al.
Published: (2025)
End-to-end training of Multimodal Model and ranking Model
by: Deng, Xiuqi, et al.
Published: (2024)
by: Deng, Xiuqi, et al.
Published: (2024)
DynamicPO: Dynamic Preference Optimization for Recommendation
by: Hu, Xingyu, et al.
Published: (2026)
by: Hu, Xingyu, et al.
Published: (2026)
AgenticRec: End-to-End Tool-Integrated Policy Optimization for Ranking-Oriented Recommender Agents
by: Li, Tianyi, et al.
Published: (2026)
by: Li, Tianyi, et al.
Published: (2026)
Similar Items
-
EGA-V2: An End-to-end Generative Framework for Industrial Advertising
by: Zheng, Zuowu, et al.
Published: (2025) -
Vertical Semi-Federated Learning for Efficient Online Advertising
by: Li, Wenjie, et al.
Published: (2022) -
NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems
by: Zheng, Zuowu, et al.
Published: (2025) -
HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
by: Chen, Shuwei, et al.
Published: (2025) -
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)