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In cost-per-click (CPC) or cost-per-impression (CPM) advertising campaigns, advertisers always run the risk of spending the budget without getting enough conversions. Moreover, the bidding on advertising inventory has few connections with…

Information Retrieval · Computer Science 2022-12-29 Deguang Kong , Konstantin Shmakov , Jian Yang

In computational advertising, a challenging problem is how to recommend the bid for advertisers to achieve the best return on investment (ROI) given budget constraint. This paper presents a bid recommendation scenario that discovers the…

Information Retrieval · Computer Science 2022-12-29 Deguang Kong , Konstantin Shmakov , Jian Yang

Taobao, as the largest online retail platform in the world, provides billions of online display advertising impressions for millions of advertisers every day. For commercial purposes, the advertisers bid for specific spots and target crowds…

Computer Science and Game Theory · Computer Science 2019-01-30 Han Zhu , Junqi Jin , Chang Tan , Fei Pan , Yifan Zeng , Han Li , Kun Gai

In digital advertising, Click-Through Rate (CTR) and Conversion Rate (CVR) are very important metrics for evaluating ad performance. As a result, ad event prediction systems are vital and widely used for sponsored search and display…

Machine Learning · Computer Science 2019-07-04 Saeid Soheily Khah , Yiming Wu

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…

Machine Learning · Computer Science 2017-01-13 Han Cai , Kan Ren , Weinan Zhang , Kleanthis Malialis , Jun Wang , Yong Yu , Defeng Guo

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…

Computer Science and Game Theory · Computer Science 2016-03-04 Weinan Zhang , Yifei Rong , Jun Wang , Tianchi Zhu , Xiaofan Wang

In this paper, we deal with the uncertainty of bidding for display advertising. Similar to the financial market trading, real-time bidding (RTB) based display advertising employs an auction mechanism to automate the impression level media…

Computer Science and Game Theory · Computer Science 2017-01-23 Haifeng Zhang , Weinan Zhang , Yifei Rong , Kan Ren , Wenxin Li , Jun 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

Today, billions of display ad impressions are purchased on a daily basis through a public auction hosted by real time bidding (RTB) exchanges. A decision has to be made for advertisers to submit a bid for each selected RTB ad request in…

Computer Science and Game Theory · Computer Science 2013-05-15 Kuang-Chih Lee , Ali Jalali , Ali Dasdan

In the cost per click (CPC) pricing model, an advertiser pays an ad network only when a user clicks on an ad; in turn, the ad network gives a share of that revenue to the publisher where the ad was impressed. Still, advertisers may be…

Applications · Statistics 2023-08-10 Gabriele Tolomei , Mounia Lalmas , Ayman Farahat , Andrew Haines

Real-Time Bidding is nowadays one of the most promising systems in the online advertising ecosystem. In the presented study, the performance of RTB campaigns is improved by optimising the parameters of the users' profiles and the…

Machine Learning · Computer Science 2019-10-30 Luis Miralles , M. Atif Qureshi , Brian Mac Namee

Creating and monitoring competitive and cost-effective pay-per-click advertisement campaigns through the web-search channel is a resource demanding task in terms of expertise and effort. Assisting or even automating the work of an…

Information Retrieval · Computer Science 2015-03-20 Stamatina Thomaidou , Michalis Vazirgiannis , Kyriakos Liakopoulos

This paper shows a vulnerability of the pay-per-click accounting of Google Ads and proposes a statistical tradeoff-based approach to manage this vulnerability. The result of this paper is a model to calculate the overhead cost per click…

Networking and Internet Architecture · Computer Science 2018-02-08 Nicola Zingirian , Michele Benini

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…

Computer Science and Game Theory · Computer Science 2013-06-28 Shuai Yuan , Jun Wang , Xiaoxue Zhao

Real-time bidding (RTB) has become one of the largest online advertising markets in the world. Today the bid price per ad impression is typically decided by the expected value of how it can lead to a desired action event (e.g., registering…

Computer Science and Game Theory · Computer Science 2016-02-16 Jian Xu , Xuhui Shao , Jianjie Ma , Kuang-chih Lee , Hang Qi , Quan Lu

Real-time bidding has emerged as an effective online advertising technique. With real-time bidding, advertisers can position ads per impression, enabling them to optimise ad campaigns by targeting specific audiences in real-time. This paper…

Information Retrieval · Computer Science 2023-05-09 Parikshit Sharma

Real-time bidding has transformed the digital advertising landscape, allowing companies to buy website advertising space in a matter of milliseconds in the time it takes a webpage to load. Joint research between Cardiff University and…

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

Online advertising is progressively moving towards a programmatic model in which ads are matched to actual interests of individuals collected as they browse the web. Letting the huge debate around privacy aside, a very important question in…

Computer Science and Game Theory · Computer Science 2017-09-26 Panagiotis Papadopoulos , Nicolas Kourtellis , Pablo Rodriguez Rodriguez , Nikolaos Laoutaris

Predicting click and conversion probabilities when bidding on ad exchanges is at the core of the programmatic advertising industry. Two separated lines of previous works respectively address i) the prediction of user conversion probability…

Machine Learning · Statistics 2017-07-24 Eustache Diemert , Julien Meynet , Pierre Galland , Damien Lefortier
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