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Real-time advertising allows advertisers to bid for each impression for a visiting user. To optimize specific goals such as maximizing revenue and return on investment (ROI) led by ad placements, advertisers not only need to estimate the…

Machine Learning · Statistics 2018-11-02 Junqi Jin , Chengru Song , Han Li , Kun Gai , Jun Wang , Weinan Zhang

Advertisers usually enjoy the flexibility to choose criteria like target audience, geographic area and bid price when planning an campaign for online display advertising, while they lack forecast information on campaign performance to…

Machine Learning · Computer Science 2022-02-25 Jun Chen , Cheng Chen , Huayue Zhang , Qing Tan

Real-time bidding is the new paradigm of programmatic advertising. An advertiser wants to make the intelligent choice of utilizing a \textbf{Demand-Side Platform} to improve the performance of their ad campaigns. Existing approaches are…

Artificial Intelligence · Computer Science 2022-09-14 Yining Lu , Changjie Lu , Naina Bandyopadhyay , Manoj Kumar , Gaurav Gupta

We propose a general stochastic framework for modelling repeated auctions in the Real Time Bidding (RTB) ecosystem using point processes. The flexibility of the framework allows a variety of auction scenarios including configuration of…

Machine Learning · Statistics 2023-08-21 Seong Jin Lee , Bumsik Kim

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

While China has become the biggest online market in the world with around 1 billion internet users, Baidu runs the world largest Chinese search engine serving more than hundreds of millions of daily active users and responding billions…

Information Retrieval · Computer Science 2024-04-01 Qingzhong Wang , Haifang Li , Haoyi Xiong , Wen Wang , Jiang Bian , Yu Lu , Shuaiqiang Wang , Zhicong Cheng , Dejing Dou , Dawei Yin

Advertisement auctions play a crucial role in revenue generation for e-commerce companies. To make the bidding procedure scalable to thousands of auctions, the automatic bidding (autobidding) algorithms are actively developed in the…

Computer Science and Game Theory · Computer Science 2025-10-23 Andrey Pudovikov , Alexandra Khirianova , Ekaterina Solodneva , Aleksandr Katrutsa , Egor Samosvat , Yuriy Dorn

We introduce a fairness-aware dataset for job recommendations in advertising, designed to foster research in algorithmic fairness within real-world scenarios. It was collected and prepared to comply with privacy standards and business…

Machine Learning · Computer Science 2024-11-05 Mariia Vladimirova , Federico Pavone , Eustache Diemert

Data trading is becoming increasingly popular, as evident by the appearance of scores of Data Marketplaces (DMs) in the last few years. Pricing digital assets is particularly complex since, unlike physical assets, digital ones can be…

Data Structures and Algorithms · Computer Science 2020-12-17 Santiago Andrés Azcoitia , Nikolaos Laoutaris

Conventional bidding strategies for online display ad auction heavily relies on observed performance indicators such as clicks or conversions. A bidding strategy naively pursuing these easily observable metrics, however, fails to optimize…

Machine Learning · Computer Science 2020-07-10 Daisuke Moriwaki , Yuta Hayakawa , Isshu Munemasa , Yuta Saito , Akira Matsui

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

Real-time Bidding (RTB) advertisers wish to \textit{know in advance} the expected cost and yield of ad campaigns to avoid trial-and-error expenses. However, Campaign Performance Forecasting (CPF), a sequence modeling task involving tens of…

Information Retrieval · Computer Science 2024-05-20 XiaoYu Wang , YongHui Guo , Hui Sheng , Peili Lv , Chi Zhou , Wei Huang , ShiQin Ta , Dongbo Huang , XiuJin Yang , Lan Xu , Hao Zhou , Yusheng Ji

Online display advertising is growing rapidly in recent years thanks to the automation of the ad buying process. Real-time bidding (RTB) allows the automated trading of ad impressions between advertisers and publishers through real-time…

Machine Learning · Computer Science 2020-08-31 Yang Qiu , Nikolaos Tziortziotis , Martial Hue , Michalis Vazirgiannis

Bid shading plays a crucial role in Real-Time Bidding (RTB) by adaptively adjusting the bid to avoid advertisers overspending. Existing mainstream two-stage methods, which first model bid landscapes and then optimize surplus using…

Computer Science and Game Theory · Computer Science 2026-04-30 Yinqiu Huang , Hao Ma , Wenshuai Chen , Zongwei Wang , Shuli Wang , Yongqiang Zhang , Xue Wei , Yinhua Zhu , Haitao Wang , Xingxing Wang

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

We consider the problem of bidding in online advertising, where an advertiser aims to maximize value while adhering to budget and Return-on-Spend (RoS) constraints. Unlike prior work that assumes knowledge of the value generated by winning…

Machine Learning · Computer Science 2025-03-06 Sushant Vijayan , Zhe Feng , Swati Padmanabhan , Karthikeyan Shanmugam , Arun Suggala , Di Wang

In this paper, we consider the problem of optimizing the revenue a web publisher gets through real-time bidding (i.e. from ads sold in real-time auctions) and direct (i.e. from ads sold through contracts agreed in advance). We consider a…

Computer Science and Game Theory · Computer Science 2020-06-15 Grégoire Jauvion , Nicolas Grislain

Display advertising is an important online advertising type where banner advertisements (shortly ad) on websites are usually measured by how many times they are viewed by online users. There are two major channels to sell ad views. They can…

Computer Science and Game Theory · Computer Science 2017-01-20 Bowei Chen

Real-time bidding has transformed the digital advertising landscape, allowing companies to buy website advertising space in a matter of milliseconds in the time it takes a webpage to load. Joint research between Cardiff University and…

In online advertising, a set of potential advertisements can be ranked by a certain auction system where usually the top-1 advertisement would be selected and displayed at an advertising space. In this paper, we show a selection bias issue…

Information Retrieval · Computer Science 2022-06-09 Shinya Suzumura , Hitoshi Abe