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Real-Time Bidding (RTB) is an important paradigm in display advertising, where advertisers utilize extended information and algorithms served by Demand Side Platforms (DSPs) to improve advertising performance. A common problem for DSPs is…

计算机科学与博弈论 · 计算机科学 2019-05-30 Xun Yang , Yasong Li , Hao Wang , Di Wu , Qing Tan , Jian Xu , Kun Gai

Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL)…

机器学习 · 计算机科学 2024-05-10 Tianchen Zhou , FNU Hairi , Haibo Yang , Jia Liu , Tian Tong , Fan Yang , Michinari Momma , Yan Gao

Real-time bidding (RTB) has become a critical way of online advertising. In RTB, an advertiser can participate in bidding ad impressions to display its advertisements. The advertiser determines every impression's bidding price according to…

机器学习 · 计算机科学 2021-10-12 Mengjuan Liu , Jinyu Liu , Zhengning Hu , Yuchen Ge , Xuyun Nie

The majority of online display ads are served through real-time bidding (RTB) --- each ad display impression is auctioned off in real-time when it is just being generated from a user visit. To place an ad automatically and optimally, it is…

机器学习 · 计算机科学 2017-01-13 Han Cai , Kan Ren , Weinan Zhang , Kleanthis Malialis , Jun Wang , Yong Yu , Defeng Guo

The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates buying an individual ad impression in real time while it…

计算机科学与博弈论 · 计算机科学 2017-07-18 Jun Wang , Weinan Zhang , Shuai Yuan

Real-time bidding (RTB) based display advertising has become one of the key technological advances in computational advertising. RTB enables advertisers to buy individual ad impressions via an auction in real-time and facilitates the…

计算机科学与博弈论 · 计算机科学 2018-03-13 Kan Ren , Weinan Zhang , Ke Chang , Yifei Rong , Yong Yu , Jun Wang

Real-time bidding (RTB) has become a new norm in display advertising where a publisher uses auction models to sell online user's page view to advertisers. In RTB, the ad with the highest bid price will be displayed to the user. This ad…

计算机科学与博弈论 · 计算机科学 2018-05-23 Xiang Chen

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…

多媒体 · 计算机科学 2017-08-02 Xiang Chen , Bowei Chen , Mohan Kankanhalli

Real-Time Bidding (RTB) is an important mechanism in modern online advertising systems. Advertisers employ bidding strategies in RTB to optimize their advertising effects subject to various financial requirements, especially the…

机器学习 · 计算机科学 2022-07-19 Haozhe Wang , Chao Du , Panyan Fang , Shuo Yuan , Xuming He , Liang Wang , Bo Zheng

Real-Time Bidding (RTB) display advertising is a method for purchasing display advertising inventory in auctions that occur within milliseconds. The performance of RTB campaigns is generally measured with a series of Key Performance…

计算机科学与博弈论 · 计算机科学 2020-07-02 Michael Tashman , Jiayi Xie , John Hoffman , Lee Winikor , Rouzbeh Gerami

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…

人工智能 · 计算机科学 2022-09-14 Yining Lu , Changjie Lu , Naina Bandyopadhyay , Manoj Kumar , Gaurav Gupta

The ad-trading desks of media-buying agencies are increasingly relying on complex algorithms for purchasing advertising inventory. In particular, Real-Time Bidding (RTB) algorithms respond to many auctions -- usually Vickrey auctions --…

最优化与控制 · 数学 2016-06-20 Joaquin Fernandez-Tapia , Olivier Guéant , Jean-Michel Lasry

Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment. The advent of deep learning has been associated with highly notable successes with sequential decision…

机器学习 · 计算机科学 2021-05-25 Michael Tashman , John Hoffman , Jiayi Xie , Fengdan Ye , Atefeh Morsali , Lee Winikor , Rouzbeh Gerami

Real-time bidding (RTB) plays a pivotal role in online advertising ecosystems. Advertisers employ strategic bidding to optimize their advertising impact while adhering to various financial constraints, such as the return-on-investment (ROI)…

人工智能 · 计算机科学 2024-12-30 Shenghong He , Chao Yu

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…

机器学习 · 统计学 2018-11-02 Junqi Jin , Chengru Song , Han Li , Kun Gai , Jun Wang , Weinan Zhang

Real-Time Bidding (RTB) is revolutionising display advertising by facilitating per-impression auctions to buy ad impressions as they are being generated. Being able to use impression-level data, such as user cookies, encourages user…

计算机科学与博弈论 · 计算机科学 2016-03-04 Weinan Zhang , Yifei Rong , Jun Wang , Tianchi Zhu , Xiaofan Wang

Real-time bidding (RTB) is an important mechanism in online display advertising, where a proper bid for each page view plays an essential role for good marketing results. Budget constrained bidding is a typical scenario in RTB where the…

人工智能 · 计算机科学 2018-10-24 Di Wu , Xiujun Chen , Xun Yang , Hao Wang , Qing Tan , Xiaoxun Zhang , Jian Xu , Kun Gai

The real-time bidding (RTB), aka programmatic buying, has recently become the fastest growing area in online advertising. Instead of bulking buying and inventory-centric buying, RTB mimics stock exchanges and utilises computer algorithms to…

计算机科学与博弈论 · 计算机科学 2013-06-28 Shuai Yuan , Jun Wang , Xiaoxue Zhao

Real-time bidding (RTB) systems, which utilize auctions to allocate user impressions to competing advertisers, continue to enjoy success in digital advertising. Assessing the effectiveness of such advertising remains a challenge in research…

机器学习 · 计算机科学 2024-02-27 Caio Waisman , Harikesh S. Nair , Carlos Carrion

Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast,…

人工智能 · 计算机科学 2018-03-02 Jun Zhao , Guang Qiu , Ziyu Guan , Wei Zhao , Xiaofei He
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