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Advertising creatives are ubiquitous in E-commerce advertisements and aesthetic creatives may improve the click-through rate (CTR) of the products. Nowadays smart advertisement platforms provide the function of compositing creatives based…

Information Retrieval · Computer Science 2021-03-02 Jin Chen , Ju Xu , Gangwei Jiang , Tiezheng Ge , Zhiqiang Zhang , Defu Lian , Kai Zheng

Ad creatives are one of the prominent mediums for online e-commerce advertisements. Ad creatives with enjoyable visual appearance may increase the click-through rate (CTR) of products. Ad creatives are typically handcrafted by advertisers…

Information Retrieval · Computer Science 2021-03-03 Jin Chen , Tiezheng Ge , Gangwei Jiang , Zhiqiang Zhang , Defu Lian , Kai Zheng

Advertising text plays a critical role in determining click-through rates (CTR) in online advertising. Large Language Models (LLMs) offer significant efficiency advantages over manual ad text creation. However, LLM-generated ad texts do not…

Information Retrieval · Computer Science 2025-08-05 Yanda Chen , Zihui Ren , Qixiang Gao , Jiale Chen , Si Chen , Xubin Li , Tiezheng Ge , Bo Zheng

Creative image in advertising is the heart and soul of e-commerce platform. An eye-catching creative image can enhance the shopping experience for users, boosting income for advertisers and advertising revenue for platforms. With the advent…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Yukang Lin , Xiang Zhang , Shichang Jia , Bowen Wan , Chenghan Fu , Xudong Ren , Yueran Liu , Wanxian Guan , Pengji Wang , Jian Xu , Bo Zheng , Baolin Liu

In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives via online A/B tests to infer effective creatives for the…

Computation and Language · Computer Science 2020-12-03 Shaunak Mishra , Manisha Verma , Yichao Zhou , Kapil Thadani , Wei Wang

Display advertising has been a significant source of revenue for publishers and ad networks in online advertising ecosystem. One of the main goals in display advertising is to maximize user response rate for advertising campaigns, such as…

Human-Computer Interaction · Computer Science 2012-04-06 Javad Azimi , Ruofei Zhang , Yang Zhou , Vidhya Navalpakkam , Jianchang Mao , Xiaoli Fern

In online advertising, the demand-side platform (a.k.a. DSP) enables advertisers to create different ad creatives for real-time bidding. Intuitively, advertisers tend to create more ad creatives for a single photo to increase the…

Artificial Intelligence · Computer Science 2024-12-10 Ruizhi Wang , Kai Liu , Bingjie Li , Yu Rong , Qingpeng Cai , Fei Pan , Peng Jiang

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

Online advertisement is the main source of revenue for Internet business. Advertisers are typically ranked according to a score that takes into account their bids and potential click-through rates(eCTR). Generally, the likelihood that a…

Machine Learning · Statistics 2018-07-06 Lulu Wang , Huahui Liu , Guanhao Chen , Shaola Ren , Xiaonan Meng , Yi Hu

Modern online experimentation faces two bottlenecks: scarce traffic forces tough choices on which variants to test, and post-hoc insight extraction is manual, inconsistent, and often content-agnostic. Meanwhile, organizations underuse…

Artificial Intelligence · Computer Science 2026-02-17 Zhengmian Hu , Lei Shi , Ritwik Sinha , Justin Grover , David Arbour

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

In this work, we investigate the online learning problem of revenue maximization in ad auctions, where the seller needs to learn the click-through rates (CTRs) of each ad candidate and charge the price of the winner through a pay-per-click…

Information Retrieval · Computer Science 2024-03-05 Zhe Feng , Christopher Liaw , Zixin Zhou

In online display advertising, selecting the most effective ad creative (ad image) for each impression is a crucial task for DSPs (Demand-Side Platforms) to fulfill their goals (click-through rate, number of conversions, revenue, and brand…

Computers and Society · Computer Science 2020-01-15 Daisuke Moriwaki , Komei Fujita , Shota Yasui , Takahiro Hoshino

This research designs a unified architecture of CTR prediction benchmark (Bench-CTR) platform that offers flexible interfaces with datasets and components of a wide range of CTR prediction models. Moreover, we construct a comprehensive…

Information Retrieval · Computer Science 2025-12-02 Shan Gao , Yanwu Yang

Dividing ads ranking system into retrieval, early, and final stages is a common practice in large scale ads recommendation to balance the efficiency and accuracy. The early stage ranking often uses efficient models to generate candidates…

Information Retrieval · Computer Science 2023-07-24 Xuewei Wang , Qiang Jin , Shengyu Huang , Min Zhang , Xi Liu , Zhengli Zhao , Yukun Chen , Zhengyu Zhang , Jiyan Yang , Ellie Wen , Sagar Chordia , Wenlin Chen , Qin Huang

In display advertising, users' online ad experiences are important for the advertising effectiveness. However, users have not been well accommodated in real-time bidding (RTB). This further influences their site visits and perception of the…

Multimedia · Computer Science 2017-08-02 Xiang Chen , Bowei Chen , Mohan Kankanhalli

Online media provides opportunities for marketers through which they can deliver effective brand messages to a wide range of audiences. Advertising technology platforms enable advertisers to reach their target audience by delivering ad…

Artificial Intelligence · Computer Science 2016-01-12 Shahriar Shariat , Burkay Orten , Ali Dasdan

Displaying banner advertisements (in short, ads) on webpages has usually been discussed as an Internet economics topic where a publisher uses auction models to sell an online user's page view to advertisers and the one with the highest bid…

Computer Science and Game Theory · Computer Science 2017-08-02 Xiang Chen , Bowei Chen , Mohan Kankanhalli

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

Cascading architecture has been widely adopted in large-scale advertising systems to balance efficiency and effectiveness. In this architecture, the pre-ranking model is expected to be a lightweight approximation of the ranking model, which…

Information Retrieval · Computer Science 2023-10-10 Zhishan Zhao , Jingyue Gao , Yu Zhang , Shuguang Han , Siyuan Lou , Xiang-Rong Sheng , Zhe Wang , Han Zhu , Yuning Jiang , Jian Xu , Bo Zheng
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