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Online advertising is a vital revenue source for major internet platforms. Recently, joint advertising, which assigns a bundle of two advertisers in an ad slot instead of allocating a single advertiser, has emerged as an effective method…

Computer Science and Game Theory · Computer Science 2025-07-11 Yang Li , Yuchao Ma , Qi Qi

The majority of online marketplaces offer promotion programs to sellers to acquire additional customers for their products. These programs typically allow sellers to allocate advertising budgets to promote their products, with higher…

Computer Science and Game Theory · Computer Science 2025-02-05 Anastasiia Soboleva , Alexander Ledovsky , Yuriy Dorn , Egor Samosvat , Andrey Tikhanov , Fyodor Prazdnikov

Online bidding and auction are crucial aspects of the online advertising industry. Conventionally, there is only one slot for ad display and most current studies focus on it. Nowadays, multi-slot display advertising is gradually becoming…

Computer Science and Game Theory · Computer Science 2024-03-06 Zhen Gong , Lvyin Niu , Yang Zhao , Miao Xu , Zhenzhe Zheng , Haoqi Zhang , Zhilin Zhang , Fan Wu , Rongquan Bai , Chuan Yu , Jian Xu , Bo Zheng

In light of the growing market of Ad Exchanges for the real-time sale of advertising slots, publishers face new challenges in choosing between the allocation of contract-based reservation ads and spot market ads. In this setting, the…

Optimization and Control · Mathematics 2012-09-25 Santiago Balseiro , Jon Feldman , Vahab Mirrokni , S. Muthukrishnan

Marketing optimization, commonly formulated as an online budget allocation problem, has emerged as a pivotal factor in driving user growth. Most existing research addresses this problem by following the principle of 'first predict then…

Machine Learning · Computer Science 2025-06-03 Xiaohan Wang , Yu Zhang , Guibin Jiang , Bing Cheng , Wei Lin

While page views are often sold instantly through real-time auctions when users visit websites, they can also be sold in advance via guaranteed contracts. In this paper, we present a dynamic programming model to study how an online…

Computer Science and Game Theory · Computer Science 2019-12-12 Bowei Chen , Jingmin Huang , Yufei Huang , Stefanos Kollias , Shigang Yue

In online advertising markets, budget-constrained advertisers acquire ad placements through repeated bidding in auctions on various platforms. We present a strategy for bidding optimally in a set of auctions that may or may not be…

Computer Science and Game Theory · Computer Science 2023-06-14 Fransisca Susan , Negin Golrezaei , Okke Schrijvers

Guaranteed display (GD) advertising is a critical component of advertising since it provides publishers with stable revenue and enables advertisers to target specific audiences with guaranteed impressions. However, smooth pacing control for…

Computer Science and Game Theory · Computer Science 2023-12-12 Liang Dai , Kejie Lyu , Chengcheng Zhang , Guangming Zhao , Zhonglin Zu , Liang Wang , Bo Zheng

In this work, we study a scenario where a publisher seeks to maximize its total revenue across two sales channels: guaranteed contracts that promise to deliver a certain number of impressions to the advertisers, and spot demands through an…

Computer Science and Game Theory · Computer Science 2021-07-16 Melika Abolhassani , Hossein Esfandiari , Yasamin Nazari , Balasubramanian Sivan , Yifeng Teng , Creighton Thomas

We discuss a multi-objective/goal programming model for the allocation of inventory of graphical advertisements. The model considers two types of campaigns: guaranteed delivery (GD), which are sold months in advance, and non-guaranteed…

Computational Engineering, Finance, and Science · Computer Science 2010-08-23 Jian Yang , Erik Vee , Sergei Vassilvitskii , John Tomlin , Jayavel Shanmugasundaram , Tasos Anastasakos , Oliver Kennedy

Advertising becomes one of the most popular ways of monetizing an online transaction platform. Usually, sponsored advertisements are posted on the most attractive positions to enhance the number of clicks. However, multiple e-commerce…

Computer Science and Game Theory · Computer Science 2022-04-22 Weian Li , Qi Qi , Changjun Wang , Changyuan Yu

Motivated by the problem of optimizing allocation in guaranteed display advertising, we develop an efficient, lightweight method of generating a compact {\em allocation plan} that can be used to guide ad server decisions. The plan itself…

Data Structures and Algorithms · Computer Science 2012-03-19 Vijay Bharadwaj , Peiji Chen , Wenjing Ma , Chandrashekhar Nagarajan , John Tomlin , Sergei Vassilvitskii , Erik Vee , Jian Yang

Modern auto-bidding systems are required to balance overall performance with diverse advertiser goals and real-world constraints, reflecting the dynamic and evolving needs of the industry. Recent advances in conditional generative models,…

Machine Learning · Computer Science 2025-12-09 Yu Lei , Jiayang Zhao , Yilei Zhao , Zhaoqi Zhang , Linyou Cai , Qianlong Xie , Xingxing Wang

We consider the optimal pricing problem for a model of the rich media advertisement market, as well as other related applications. In this market, there are multiple buyers (advertisers), and items (slots) that are arranged in a line such…

Computer Science and Game Theory · Computer Science 2013-08-07 Xiaotie Deng , Paul Goldberg , Yang Sun , Bo Tang , Jinshan Zhang

We consider an online ad network problem in which an ad exchange auctions ad slots and intermediaries called demand side platforms (DSPs) buy these ad slots for their clients (advertisers). An intermediary represents multiple advertisers.…

Computer Science and Game Theory · Computer Science 2019-10-07 Rahul Meshram , Kesav Kaza

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. For large publishers, simultaneously selling impressions through both guaranteed contracts and in-house…

Computer Science and Game Theory · Computer Science 2022-03-15 Di Wu , Cheng Chen , Xiujun Chen , Junwei Pan , Xun Yang , Qing Tan , Jian Xu , Kuang-Chih Lee

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

While it is relatively easy to start an online advertising campaign, obtaining a high Key Performance Indicator (KPI) can be challenging. A large body of work on this subject has already been performed and platforms known as DSPs are…

Computer Science and Game Theory · Computer Science 2018-08-10 Gianluca Micchi , Saeid Soheily-Khah , Jacob Turner

Recently, joint advertising has gained significant attention as an effective approach to enhancing the efficiency and revenue of advertising slot allocation. Unlike traditional advertising, which allocates advertising slots exclusively to a…

Computer Science and Game Theory · Computer Science 2025-12-18 Chun Fang , Luowen Liu , Kun Huang , Tao Ruan , Sheng Yan , Zhen Wang , Huan Li , Qiang Liu , Xingxing Wang

E-commerce platforms usually present an ordered list, mixed with several organic items and an advertisement, in response to each user's page view request. This list, the outcome of ad auction and allocation processes, directly impacts the…

Computer Science and Game Theory · Computer Science 2024-04-12 Xuejian Li , Ze Wang , Bingqi Zhu , Fei He , Yongkang Wang , Xingxing Wang
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