This repository is a curated collection of research and survey papers focused on Real-Time Bidding (RTB) in display advertising. It serves as a valuable resource for researchers and practitioners in computational advertising, offering a structured overview of techniques for CTR/CVR estimation, bidding strategies, budget pacing, fraud detection, and market mechanisms.

How It Works

The repository organizes papers into thematic categories, such as "Demand-Side Platform (DSP) Techniques," "Supply-Side Platform (SSP) Techniques," and "Ad Exchanges, Mechanisms and Game Theory." This categorization allows users to easily navigate and find relevant literature on specific aspects of RTB. The collection is maintained through community contributions, encouraging updates and additions to keep the resource comprehensive.

Quick Start & Requirements

This repository is a collection of academic papers and does not have a direct installation or execution process. Accessing the papers requires individual retrieval from their respective publication venues.

Highlighted Details

• Comprehensive coverage of RTB topics, including advanced areas like causal models for attribution and deep learning for bid shading.
• Includes seminal works and recent advancements, spanning from 2009 to 2024.
• Features papers from top-tier conferences and journals in machine learning, advertising, and economics.
• Organizes literature by functional areas within the RTB ecosystem (DSP, SSP, DMP, etc.).

Maintenance & Community

The repository is actively maintained by Weinan Zhang and welcomes community contributions via forks, pull requests, or issue reports. It serves as a community-driven effort to catalog RTB research.

Licensing & Compatibility

The repository itself is licensed under an unspecified license, but it hosts links to academic papers, each with its own copyright and distribution terms. Users must adhere to the licensing of individual papers.

Limitations & Caveats

This is a curated list of papers and does not provide code, datasets, or implementations. Users are responsible for accessing the full papers and understanding their specific methodologies and requirements.