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Real-time Bidding (RTB) advertisers wish to \textit{know in advance} the expected cost and yield of ad campaigns to avoid trial-and-error expenses. However, Campaign Performance Forecasting (CPF), a sequence modeling task involving tens of…

Information Retrieval · Computer Science 2024-05-20 XiaoYu Wang , YongHui Guo , Hui Sheng , Peili Lv , Chi Zhou , Wei Huang , ShiQin Ta , Dongbo Huang , XiuJin Yang , Lan Xu , Hao Zhou , Yusheng Ji

In this paper, we study multiple problems from sponsored product optimization in ad system, including position-based de-biasing, click-conversion multi-task learning, and calibration on predicted click-through-rate (pCTR). We propose a…

Information Retrieval · Computer Science 2023-04-19 Yanbing Xue , Bo Liu , Weizhi Du , Jayanth Korlimarla , Musen Men

In search engine advertising (SEA) market, where competition among retailers is intense and multifaceted, channel coordination between retailers and manufacturers emerges as a critical factor, which significantly influences the…

Computer Science and Game Theory · Computer Science 2025-12-29 Huiran Li , Qiucheng Li , Baozhu Feng

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

The plethora of comparison shopping agents (CSAs) in today's markets enables buyers to query more than a single CSA when shopping, and an inter-CSAs competition naturally arises. We suggest a new approach, termed "selective price…

Computer Science and Game Theory · Computer Science 2016-11-08 Chen Hajaj , Noam Hazon , David Sarne

On e-commerce platforms, sellers typically bid for impressions from ad traffic to promote their products. However, for most sellers, the majority of their sales come from organic traffic. Consequently, the relationship between their ad…

Computer Science and Game Theory · Computer Science 2025-07-08 Ningyuan Li , Zhilin Zhang , Tianyan Long , Yuyao Liu , Rongquan Bai , Yurong Chen , Xiaotie Deng , Pengjie Wang , Chuan Yu , Jian Xu , Bo Zheng

Sponsored search is an important monetization channel for search engines, in which an auction mechanism is used to select the ads shown to users and determine the prices charged from advertisers. There have been several pieces of work in…

Computer Science and Game Theory · Computer Science 2014-06-05 Di He , Wei Chen , Liwei Wang , Tie-Yan Liu

We study the combinatorial assignment domain, which includes combinatorial auctions and course allocation. The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, several…

Machine Learning · Computer Science 2023-03-14 Jakob Weissteiner , Jakob Heiss , Julien Siems , Sven Seuken

Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This article presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for…

Artificial Intelligence · Computer Science 2011-06-28 J. A. Csirik , M. L. Littman , D. McAllester , R. E. Schapire , P. Stone

As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry. One important goal of advertising is to increase sales.…

Computers and Society · Computer Science 2020-08-18 Yanwu Yang , Kang Zhao , Daniel Zeng , Bernard Jim Jansen

Sponsored search positions are typically allocated through real-time auctions, where the outcomes depend on advertisers' quality-adjusted bids - the product of their bids and quality scores. Although quality scoring helps promote ads with…

Computer Science and Game Theory · Computer Science 2025-09-01 Mohammad Rashid , Omid Rafieian , Soheil Ghili

Modern industrial advertising systems commonly employ Multi-stage Cascading Architectures (MCA) to balance computational efficiency with ranking accuracy. However, this approach presents two fundamental challenges: (1) performance…

Information Retrieval · Computer Science 2025-06-03 Junyan Qiu , Ze Wang , Fan Zhang , Zuowu Zheng , Jile Zhu , Jiangke Fan , Teng Zhang , Haitao Wang , Yongkang Wang , Xingxing Wang

In online advertising, the inherent complexity and dynamic nature of advertising environments necessitate the use of auto-bidding services to assist advertisers in bid optimization. This complexity is further compounded in multi-channel…

Artificial Intelligence · Computer Science 2026-02-27 Xinxin Yang , Yangyang Tang , Yikun Zhou , Yaolei Liu , Yun Li , Bo Yang

Coupon distribution is a critical marketing strategy used by online platforms to boost revenue and enhance user engagement. Regrettably, existing coupon distribution strategies fall far short of effectively leveraging the complex sequential…

Machine Learning · Computer Science 2026-02-03 Li Kong , Bingzhe Wang , Zhou Chen , Suhan Hu , Yuchao Ma , Qi Qi , Suoyuan Song , Bicheng Jin

Baidu runs the largest commercial web search engine in China, serving hundreds of millions of online users every day in response to a great variety of queries. In order to build a high-efficiency sponsored search engine, we used to adopt a…

Information Retrieval · Computer Science 2024-09-06 Miao Fan , Jiacheng Guo , Shuai Zhu , Shuo Miao , Mingming Sun , Ping Li

We study and formulate arbitrage in display advertising. Real-Time Bidding (RTB) mimics stock spot exchanges and utilises computers to algorithmically buy display ads per impression via a real-time auction. Despite the new automation, the…

Computer Science and Game Theory · Computer Science 2015-06-15 Weinan Zhang , Jun Wang

Internet advertisers (buyers) repeatedly procure ad impressions from ad platforms (sellers) with the aim to maximize total conversion (i.e. ad value) while respecting both budget and return-on-investment (ROI) constraints for efficient…

Computer Science and Game Theory · Computer Science 2023-02-08 Negin Golrezaei , Patrick Jaillet , Jason Cheuk Nam Liang , Vahab Mirrokni

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

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

Online advertising has been introduced as one of the most efficient methods of advertising throughout the recent years. Yet, advertisers are concerned about the efficiency of their online advertising campaigns and consequently, would like…

Machine Learning · Computer Science 2013-05-15 Ali Jalali , Santanu Kolay , Peter Foldes , Ali Dasdan
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