English
Related papers

Related papers: AIGB: Generative Auto-bidding via Conditional Diff…

200 papers

Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast,…

Artificial Intelligence · Computer Science 2018-03-02 Jun Zhao , Guang Qiu , Ziyu Guan , Wei Zhao , Xiaofei He

In the realm of online advertising, advertisers partake in ad auctions to obtain advertising slots, frequently taking advantage of auto-bidding tools provided by demand-side platforms. To improve the automation of these bidding systems, we…

Machine Learning · Computer Science 2025-06-30 Hao Jiang , Yongxiang Tang , Yanxiang Zeng , Pengjia Yuan , Yanhua Cheng , Teng Sha , Xialong Liu , Peng Jiang

Auto-bidding is crucial in facilitating online advertising by automatically providing bids for advertisers. While previous work has made great efforts to model bidding environments for better ad performance, it has limitations in…

Artificial Intelligence · Computer Science 2026-03-17 Jiahao Ji , Tianyu Wang , Yeshu Li , Yushen Huo , Zhilin Zhang , Chuan Yu , Jian Xu , Bo Zheng

We study a game between autobidding algorithms that compete in an online advertising platform. Each autobidder is tasked with maximizing its advertiser's total value over multiple rounds of a repeated auction, subject to budget and…

Computer Science and Game Theory · Computer Science 2024-12-03 Brendan Lucier , Sarath Pattathil , Aleksandrs Slivkins , Mengxiao Zhang

Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency and creativity. In this paper, we focus on diffusion…

Machine Learning · Computer Science 2024-03-21 Zihao Li , Hui Yuan , Kaixuan Huang , Chengzhuo Ni , Yinyu Ye , Minshuo Chen , Mengdi Wang

Modern content platforms offer paid promotion to mitigate cold start by allocating exposure via auctions. Our empirical analysis reveals a counterintuitive flaw in this paradigm: while promotion rescues low-to-medium quality content, it can…

Computer Science and Game Theory · Computer Science 2026-01-29 Yumou Liu , Zhenzhe Zheng , Jiang Rong , Yao Hu , Fan Wu , Guihai Chen

The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers achieve their economic goals. Current auto-bidding methods…

Computation and Language · Computer Science 2026-03-06 Yewen Li , Zhiyi Lyu , Peng Jiang , Qingpeng Cai , Fei Pan , Bo An , Peng Jiang

The purpose of Inventory Pricing is to bid the right prices to online ad opportunities, which is crucial for a Demand-Side Platform (DSP) to win advertising auctions in Real-Time Bidding (RTB). In the planning stage, advertisers need the…

Machine Learning · Computer Science 2021-10-27 Xu Li , Michelle Ma Zhang , Youjun Tong , Zhenya Wang

The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates buying an individual ad impression in real time while it…

Computer Science and Game Theory · Computer Science 2017-07-18 Jun Wang , Weinan Zhang , Shuai Yuan

Real-time bidding (RTB) has become a major paradigm of display advertising. Each ad impression generated from a user visit is auctioned in real time, where demand-side platform (DSP) automatically provides bid price usually relying on the…

Information Retrieval · Computer Science 2022-12-26 Zhimeng Jiang , Kaixiong Zhou , Mi Zhang , Rui Chen , Xia Hu , Soo-Hyun Choi

Internet live streaming is widely used in online entertainment and e-commerce, where live advertising is an important marketing tool for anchors. An advertising campaign hopes to maximize the effect (such as conversions) under constraints…

Machine Learning · Statistics 2025-08-11 Bo Yang , Ruixuan Luo , Junqi Jin , Han Zhu

Automated bidding, an emerging intelligent decision making paradigm powered by machine learning, has become popular in online advertising. Advertisers in automated bidding evaluate the cumulative utilities and have private financial…

Computer Science and Game Theory · Computer Science 2023-08-22 Yidan Xing , Zhilin Zhang , Zhenzhe Zheng , Chuan Yu , Jian Xu , Fan Wu , Guihai Chen

Optimizing the advertiser's cumulative value of winning impressions under budget constraints poses a complex challenge in online advertising, under the paradigm of AI-Generated Bidding (AIGB). Advertisers often have personalized objectives…

Artificial Intelligence · Computer Science 2026-01-22 Mingxuan Song , Yusen Huo , Bohan Zhou , Shenglin Yin , Zhen Xiao , Jieyi Long , Zhilin Zhang , Chuan Yu

Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This article presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for…

Artificial Intelligence · Computer Science 2011-06-28 J. A. Csirik , M. L. Littman , D. McAllester , R. E. Schapire , P. Stone

Digital advertising platforms operate millisecond-level auctions through Real-Time Bidding (RTB) systems, where advertisers compete for ad impressions through algorithmic bids. This dynamic mechanism enables precise audience targeting but…

Machine Learning · Computer Science 2025-08-11 Pusen Dong , Chenglong Cao , Xinyu Zhou , Jirong You , Linhe Xu , Feifan Xu , Shuo Yuan

The autobidding system generates huge revenue for advertising platforms, garnering substantial research attention. Existing studies in autobidding systems focus on designing Autobidding Incentive Compatible (AIC) mechanisms, where the…

Computer Science and Game Theory · Computer Science 2024-11-21 Bingzhe Wang , Ruohan Qian , Yuejia Dou , Qi Qi , Bo Shen , Changyuan Li , Yixuan Zhang , Yixin Su , Xin Yuan , Wenqiang liu , Bin Zou , Wen Yi , Zhi Guo , Shuanglong Li , Liu Lin

Managing millions of digital auctions is an essential task for modern advertising auction systems. The main approach to managing digital auctions is an autobidding approach, which depends on the Click-Through Rate and Conversion Rate…

Computer Science and Game Theory · Computer Science 2025-10-13 Andrey Pudovikov , Alexandra Khirianova , Ekaterina Solodneva , Gleb Molodtsov , Aleksandr Katrutsa , Yuriy Dorn , Egor Samosvat

Artificial Intelligence-Generated Content (AIGC) refers to the paradigm of automated content generation utilizing AI models. Mobile AIGC services in the Internet of Vehicles (IoV) network have numerous advantages over traditional…

Artificial Intelligence · Computer Science 2024-05-10 Jiani Fan , Minrui Xu , Ziyao Liu , Huanyi Ye , Chaojie Gu , Dusit Niyato , Kwok-Yan Lam

Real-time bidding (RTB) plays a pivotal role in online advertising ecosystems. Advertisers employ strategic bidding to optimize their advertising impact while adhering to various financial constraints, such as the return-on-investment (ROI)…

Artificial Intelligence · Computer Science 2024-12-30 Shenghong He , Chao Yu

Online auction scenarios, such as bidding searches on advertising platforms, often require bidders to participate repeatedly in auctions for identical or similar items. Most previous studies have only considered the process by which the…

Computer Science and Game Theory · Computer Science 2024-02-28 Yudong Hu , Congying Han , Tiande Guo , Hao Xiao