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Auto-bidding has become a cornerstone of modern online advertising platforms, enabling many advertisers to automate bidding at scale and optimize campaign performance. However, prevailing industrial systems rely on single-agent auto-bidding…

Machine Learning · Computer Science 2026-02-03 Zhiyu Mou , Miao Xu , Rongquan Bai , Zhuoran Yang , Chuan Yu , Jian Xu , Bo Zheng

In E-commerce, advertising is essential for merchants to reach their target users. The typical objective is to maximize the advertiser's cumulative revenue over a period of time under a budget constraint. In real applications, an…

In online advertising (Ad), advertisers are always eager to know how to globally optimize their budget allocation strategies across different channels for more conversions such as orders, payments, etc. Ignoring competition among different…

Computer Science and Game Theory · Computer Science 2023-05-12 Guangyuan Shen , Shenjie Sun , Dehong Gao , Shaolei Li , Libin Yang , Yongping Shi , Wei Ning

There is a perennial need in the online advertising industry to refresh ad creatives, i.e., images and text used for enticing online users towards a brand. Such refreshes are required to reduce the likelihood of ad fatigue among online…

Computation and Language · Computer Science 2020-08-05 Yichao Zhou , Shaunak Mishra , Manisha Verma , Narayan Bhamidipati , Wei Wang

Modern large-scale systems such as recommender system and online advertising system are built upon computation-intensive infrastructure. The typical objective in these applications is to maximize the total revenue, e.g. GMV~(Gross…

Networking and Internet Architecture · Computer Science 2020-06-18 Biye Jiang , Pengye Zhang , Rihan Chen , Binding Dai , Xinchen Luo , Yin Yang , Guan Wang , Guorui Zhou , Xiaoqiang Zhu , Kun Gai

Unexpected advertising items in sponsored search may reduce users' reliance on organic search, resulting in hidden cost for the e-commerce platform. To address this problem and promote sustainable growth, we propose a dynamic reserve price…

Computer Science and Game Theory · Computer Science 2025-08-26 Mang Li

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

In programmatic advertising, ad slots are usually sold using second-price (SP) auctions in real-time. The highest bidding advertiser wins but pays only the second-highest bid (known as the winning price). In SP, for a single item, the…

Machine Learning · Computer Science 2020-01-22 Aritra Ghosh , Saayan Mitra , Somdeb Sarkhel , Jason Xie , Gang Wu , Viswanathan Swaminathan

Advertising (ad for short) keyword suggestion is important for sponsored search to improve online advertising and increase search revenue. There are two common challenges in this task. First, the keyword bidding problem: hot ad keywords are…

Computation and Language · Computer Science 2019-02-28 Hao Zhou , Minlie Huang , Yishun Mao , Changlei Zhu , Peng Shu , Xiaoyan Zhu

Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and creativity. This paper introduces AutoPoster, a highly…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Jinpeng Lin , Min Zhou , Ye Ma , Yifan Gao , Chenxi Fei , Yangjian Chen , Zhang Yu , Tiezheng Ge

In recent years, Optimized Cost Per Click (OCPC) and Optimized Cost Per Mille (OCPM) have emerged as the most widely adopted pricing models in the online advertising industry. However, the existing literature has yet to identify the…

Computer Science and Game Theory · Computer Science 2024-09-06 Kaichen Zhang , Zixuan Yuan , Hui Xiong

In sponsored search, advertisement (abbreviated ad) slots are usually sold by a search engine to an advertiser through an auction mechanism in which advertisers bid on keywords. In theory, auction mechanisms have many desirable economic…

Computer Science and Game Theory · Computer Science 2015-12-11 Bowei Chen , Jun Wang , Ingemar J. Cox , Mohan S. Kankanhalli

Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a given sentence, which is a critical task in the field of aspect-based sentiment analysis. However, the data imbalance issue has not received…

Computation and Language · Computer Science 2024-01-15 Wenyuan Zhang , Xinghua Zhang , Shiyao Cui , Kun Huang , Xuebin Wang , Tingwen Liu

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

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

Traditional online advertising systems for sponsored search follow a cascade paradigm with retrieval, pre-ranking,ranking, respectively. Constrained by strict requirements on online inference efficiency, it tend to be difficult to deploy…

Information Retrieval · Computer Science 2023-08-09 Han Xu , Hao Qi , Kunyao Wang , Pei Wang , Guowei Zhang , Congcong Liu , Junsheng Jin , Xiwei Zhao , Zhangang Lin , Jinghe Hu , Jingping Shao

Motivated by Internet advertising applications, online allocation problems have been studied extensively in various adversarial and stochastic models. While the adversarial arrival models are too pessimistic, many of the stochastic (such as…

Data Structures and Algorithms · Computer Science 2017-11-17 Hossein Esfandiari , Nitish Korula , Vahab Mirrokni

The effectiveness of ad creatives is greatly influenced by their visual appearance. Advertising platforms can generate ad creatives with different appearances by combining creative elements provided by advertisers. However, with the…

Information Retrieval · Computer Science 2023-07-06 Wei Zhang , Ping Zhang , Jian Dong , Yongkang Wang , Pengye Zhang , Bo Zhang , Xingxing Wang , Dong Wang

Pay-per-click advertising includes various formats (\emph{e.g.}, search, contextual, social) with a total investment of more than 200 billion USD per year worldwide. An advertiser is given a daily budget to allocate over several, even…

Machine Learning · Computer Science 2020-03-04 Alessandro Nuara , Francesco Trovò , Nicola Gatti , Marcello Restelli

Online advertising systems typically use a cascaded architecture to manage massive requests and candidate volumes, where the ranking stages allocate traffic based on eCPM (predicted CTR $\times$ Bid). With the increasing popularity of…

Machine Learning · Computer Science 2025-08-08 Bin Liu , Yunfei Liu , Ziru Xu , Zhaoyu Zhou , Zhi Kou , Yeqiu Yang , Han Zhu , Jian Xu , Bo Zheng