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In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. However, under such a setting, the advertising system loses the…

机器学习 · 计算机科学 2019-09-04 Weixun Wang , Junqi Jin , Jianye Hao , Chunjie Chen , Chuan Yu , Weinan Zhang , Jun Wang , Xiaotian Hao , Yixi Wang , Han Li , Jian Xu , Kun Gai

Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is…

社会与信息网络 · 计算机科学 2023-10-24 Jon Kleinberg , Sendhil Mullainathan , Manish Raghavan

We consider the revenue maximization problem for an online retailer who plans to display in order a set of products differing in their prices and qualities. Consumers have attention spans, i.e., the maximum number of products they are…

机器学习 · 计算机科学 2025-11-11 Ningyuan Chen , Anran Li , Shuoguang Yang

In an effort to combat ad annoyance in mobile apps, publishers have introduced a new ad format called "Incentivized Advertising" or "Rewarded Advertising", whereby users receive rewards in exchange for watching ads. There is much debate in…

应用统计 · 统计学 2021-02-03 Khai Chiong , Sha Yang , Richard Chen

When selling information products, the seller can provide some free partial information to change people's valuations so that the overall revenue can possibly be increased. We study the general problem of advertising information products by…

计算机科学与博弈论 · 计算机科学 2021-09-24 Shuran Zheng , Yiling Chen

In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these companies' ads by using certain advertisement assignment strategies. We…

数据结构与算法 · 计算机科学 2012-09-10 Bo Tan , R. Srikant

The "free trial" followed by automatic renewal is a dominant business model in the digital economy. Standard models explain trials as a mechanism for consumers to learn their valuation for a product. We propose a complementary theory based…

综合经济学 · 经济学 2025-09-18 F. Nguyen

Creating and maximizing influence among the customers is one of the central goals of an advertiser, and hence, remains an active area of research in recent times. In this advertisement technique, the advertisers approach an influence…

信息检索 · 计算机科学 2024-01-31 Dildar Ali , Suman Banerjee , Yamuna Prasad

As the rate of content production grows, we must make a staggering number of daily decisions about what information is worth acting on. For any flourishing online social media system, users can barely keep up with the new content shared by…

社会与信息网络 · 计算机科学 2016-11-18 Nathan O. Hodas , Kristina Lerman

Traditionally, Internet Access Providers (APs) only charge end-users for Internet access services; however, to recoup infrastructure costs and increase revenues, some APs have recently adopted two-sided pricing schemes under which both…

网络与互联网体系结构 · 计算机科学 2017-06-14 Xin Wang , Richard T. B. Ma , Yinlong Xu

We consider the revenue maximization problem in social advertising, where a social network platform owner needs to select seed users for a group of advertisers, each with a payment budget, such that the total expected revenue that the owner…

数据结构与算法 · 计算机科学 2021-07-27 Kai Han , Benwei Wu , Jing Tang , Shuang Cui , Cigdem Aslay , Laks V. S. Lakshmanan

Advancements in service sector and growing online platforms are intensifying the information exchange between customers through (electronic) word-of-mouth (WoM). The information obtained by WoM has shown to be a dominant factor in…

最优化与控制 · 数学 2022-01-14 Asya Dipkaya , Sakine Batun , Bahar Çavdar

A monopolist wishes to maximize her profits by finding an optimal price policy. After she announces a menu of products and prices, each agent $x$ will choose to buy that product $y(x)$ which maximizes his own utility, if positive. The…

最优化与控制 · 数学 2021-02-12 Robert J. McCann , Kelvin Shuangjian Zhang

Digital services face a fundamental trade-off in content selection: they must balance the immediate revenue gained from high-reward content against the long-term benefits of maintaining user engagement. Traditional multi-armed bandit models…

机器学习 · 计算机科学 2025-02-21 Emilio Calvano , Nika Haghtalab , Ellen Vitercik , Eric Zhao

Social advertising (or social promotion) is an effective approach that produces a significant cascade of adoption through influence in the online social networks. The goal of this work is to optimize the ad allocation from the platform's…

社会与信息网络 · 计算机科学 2015-05-14 Shaojie Tang , Jing Yuan

We study what changes to an agent's decision problem increase her value for information. We prove that information becomes more valuable if and only if the agent's reduced-form payoff in her belief becomes more convex. When the…

理论经济学 · 经济学 2026-04-17 Mark Whitmeyer

Today's queueing network systems are more rapidly evolving and more complex than those of even a few years ago. The goal of this paper is to study customers' behavior in an unobservable Markovian M/M/1 queue where consumers have to choose…

最优化与控制 · 数学 2019-01-11 Tesnim Naceur , Yezekael Hayel

Media publisher platforms often face an effectiveness-nuisance tradeoff: more annoying ads can be more effective for some advertisers because of their ability to attract attention, but after attracting viewers' attention, their nuisance to…

计算机科学与博弈论 · 计算机科学 2017-01-27 Valeria Stourm , Eric Bax

We study the pricing behavior of third-party platforms facing strategic agents. Assuming the platform is a revenue maximizer, it observes market features that generally affect demand. Since only the equilibrium price and quantity are…

机器学习 · 计算机科学 2025-12-30 Rui Ai , David Simchi-Levi , Feng Zhu

We consider a novel pricing and advertising framework, where a seller not only sets product price but also designs flexible 'advertising schemes' to influence customers' valuation of the product. We impose no structural restriction on the…

计算机科学与博弈论 · 计算机科学 2024-12-12 Shipra Agrawal , Yiding Feng , Wei Tang
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