Curated papers, articles, and blogs on online advertising.

Table of Contents

• Table of Contents
  • Computational Advertising
  • Ads Retrieval
  • Ads Ranking
  • Budget Optimization
  • Data Mining
  • Delayed Feedback (Ads Conversion)
  • Calibration
  • Economics
  • Recommendation
    • Multi-Task Learning
    • User Representation
    • Privacy Preserving Recommendation

Computational Advertising

• ADSNet: Cross-Domain LTV Prediction with an Adaptative Siamese Network in Advertising Tencent 2024

Ads Retrieval

Ads Ranking

• LiRank: Industrial Large Scale Ranking Models at LinkedIn LinkedIn 2024
• DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems Google 2020
• Deep & Cross Network for Ad Click Predictions Google 2017

Budget Optimization

• Stochastic Bandits For Multi-platform Budget Optimization in Online Advertising Meta 2021

Data Mining

• Mining Advertiser-specific User Behavior Using Adfactors Google 2010

Delayed Feedback (Ads Conversion)

• Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising Chinese Academy of Sciences Tecent 2023
• Multi-Head Online Learning for Delayed Feedback Modeling Airbnb Tiktok 2022
• Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling Alibaba 2021
• Modeling Labels for Conversion Value Prediction Google 2021
• Handling Many Conversions Per Click in Modeling Delayed Feedback Google 2021
• A Feedback Shift Correction in Predicting Conversion Rates Under Delayed Feedback Cyberagent 2020
• Modeling Delayed Feedback in Display Advertising Criteo Labs 2014
• Learning Classifiers from Only Positive and Unlabeled Data UCSD 2008

Calibration

• Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising Shopee 2024
• Joint Optimization of Ranking and Calibration With Contextualized Hybrid Model Alibaba 2023
• Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probablistic Predictions Tencent 2020

Economics

• Optimizing Ad Refresh in Mobile App Advertising Google 2018

Recommendation

• Self-supervised Learning for Large-scale Item Recommendations Google 2021
• Recommending What Video to Watch next: A Multitask Ranking System 2019
• Deep Learning Recommendation Model for Personalization and Recommendation Systems Meta 2019
• Wide & Deep Learning for Recommender Systems 2016
• Learning Hidden Unit Contributions for Unsupervied Acoustic Model Adaptation 2016

Multi-Task Learning

• Unleasing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras 2024
• HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou Kuaishou 2024
• Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations Tecent 2020
• Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts Google 2018
• Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction Alibaba 2018

User Representation

• Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Meta 2024

Privacy Preserving Recommendation