English
Related papers

Related papers: Optimal Auction Design in the Joint Advertising

200 papers

Online advertising is a primary source of income for e-commerce platforms. In the current advertising pattern, the oriented targets are the online store owners who are willing to pay extra fees to enhance the position of their stores. On…

Computer Science and Game Theory · Computer Science 2024-08-20 Zhen Zhang , Weian Li , Yahui Lei , Bingzhe Wang , Zhicheng Zhang , Qi Qi , Qiang Liu , Xingxing Wang

Online advertisements are a primary revenue source for e-commerce platforms. Traditional advertising models are store-centric, selecting winning stores through auction mechanisms. Recently, a new approach known as joint advertising has…

Computer Science and Game Theory · Computer Science 2025-07-11 Zhen Zhang , Weian Li , Yuhan Wang , Qi Qi , Kun Huang

Guaranteed display advertising is crucial for platform monetization, yet existing methods often operate under a single-slot assumption, limiting their ability to optimize allocation across multi-slot page views. In this paper, we propose a…

Machine Learning · Computer Science 2026-05-22 Zhaoqi Zhang , Jiaming Deng , Miao Xie , Linyou Cai , Qianlong Xie , Xingxing Wang , Siqiang Luo , Gao Cong

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

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

Using AI approaches to automatically design mechanisms has been a central research mission at the interface of AI and economics [Conitzer and Sandholm, 2002]. Previous approaches that attempt to design revenue optimal auctions for the…

Artificial Intelligence · Computer Science 2021-05-04 Weiran Shen , Pingzhong Tang , Song Zuo

We analyze the problem of how to optimally bid for ad spaces in online ad auctions. For this we consider the general case of multiple ad campaigns with overlapping targeting criteria. In our analysis we first characterize the structure of…

Optimization and Control · Mathematics 2020-04-16 Erik Tillberg , Peter Marbach , Ravi Mazumdar

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

Online Resource Allocation addresses the problem of efficiently allocating limited resources to buyers with incomplete knowledge of future requests. In our setting, buyers arrive sequentially requesting a set of items, each with a value…

Computer Science and Game Theory · Computer Science 2026-02-11 Dimitris Fotakis , Charalampos Platanos , Thanos Tolias

Motivated by online retail, we consider the problem of selling one item (e.g., an ad slot) to two non-excludable buyers (say, a merchant and a brand). This problem captures, for example, situations where a merchant and a brand cooperatively…

Computer Science and Game Theory · Computer Science 2025-05-26 Gagan Aggarwal , Ashwinkumar Badanidiyuru , Paul Dütting , Federico Fusco

In online ad markets, a rising number of advertisers are employing bidding agencies to participate in ad auctions. These agencies are specialized in designing online algorithms and bidding on behalf of their clients. Typically, an agency…

Computer Science and Game Theory · Computer Science 2023-06-14 Yurong Chen , Qian Wang , Zhijian Duan , Haoran Sun , Zhaohua Chen , Xiang Yan , Xiaotie Deng

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

Auto-bidding plays an important role in online advertising and has become a crucial tool for advertisers and advertising platforms to meet their performance objectives and optimize the efficiency of ad delivery. Advertisers employing…

Computer Science and Game Theory · Computer Science 2020-12-07 Bin Li , Xiao Yang , Daren Sun , Zhi Ji , Zhen Jiang , Cong Han , Dong Hao

With the advancement of machine learning, an increasing number of studies are employing automated mechanism design (AMD) methods for optimal auction design. However, all previous AMD architectures designed to generate optimal mechanisms…

Computer Science and Game Theory · Computer Science 2025-06-13 Zhen Zhang , Luowen Liu , Wanzhi Zhang , Zitian Guo , Kun Huang , Qi Qi , Qiang Liu , Xingxing Wang

Online recommendation and advertising are two major income channels for online recommendation platforms (e.g. e-commerce and news feed site). However, most platforms optimize recommending and advertising strategies by different teams…

Information Retrieval · Computer Science 2020-06-22 Xiangyu Zhao , Xudong Zheng , Xiwang Yang , Xiaobing Liu , Jiliang Tang

Internet search companies sell advertisement slots based on users' search queries via an auction. While there has been a lot of attention on the auction process and its game-theoretic aspects, our focus is on the advertisers. In particular,…

Data Structures and Algorithms · Computer Science 2007-05-23 Jon Feldman , S. Muthukrishnan , Martin Pal , Cliff Stein

This paper explores the integration of strategic optimization methods in search advertising, focusing on ad ranking and bidding mechanisms within E-commerce platforms. By employing a combination of reinforcement learning and evolutionary…

Machine Learning · Computer Science 2024-05-30 Chang Zhou , Yang Zhao , Jin Cao , Yi Shen , Xiaoling Cui , Chiyu Cheng

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

Optimal mechanisms have been provided in quite general multi-item settings, as long as each bidder's type distribution is given explicitly by listing every type in the support along with its associated probability. In the implicit setting,…

Computer Science and Game Theory · Computer Science 2015-03-09 Constantinos Daskalakis , Alan Deckelbaum , Christos Tzamos

We consider the "Offline Ad Slot Scheduling" problem, where advertisers must be scheduled to "sponsored search" slots during a given period of time. Advertisers specify a budget constraint, as well as a maximum cost per click, and may not…

Computer Science and Game Theory · Computer Science 2008-01-21 Jon Feldman , S. Muthukrishnan , Evdokia Nikolova , Martin Pal
‹ Prev 1 2 3 10 Next ›