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Bidding is a key element of search advertising, but the variation in bidders' valuations and strategies is often overlooked. Disclosing bid information helps uncover this heterogeneity and enables platforms to tailor their disclosure…

综合经济学 · 经济学 2024-10-10 Zhu Mingxi , Song Michelle

Programmatic advertising consists in automated auctioning of digital ad space. Every time a user requests a web page, placeholders on the page are populated with ads from the highest-bidding advertisers. The bids are typically based on…

人工智能 · 计算机科学 2022-05-03 Emil Häglund , Johanna Björklund

Ad exchanges are an emerging platform for trading advertisement slots on the web with billions of dollars revenue per year. Every time a user visits a web page, the publisher of that web page can ask an ad exchange to auction off the ad…

计算机科学与博弈论 · 计算机科学 2016-04-20 Oren Ben-Zwi , Monika Henzinger , Veronika Loitzenbauer

Contemporary real-world online ad auctions differ from canonical models [Edelman et al., 2007; Varian, 2009] in at least four ways: (1) values and click-through rates can depend upon users' search queries, but advertisers can only partially…

机器学习 · 计算机科学 2024-04-11 Ming Chen , Sareh Nabi , Marciano Siniscalchi

Most search engines sell slots to place advertisements on the search results page through keyword auctions. Advertisers offer bids for how much they are willing to pay when someone enters a search query, sees the search results, and then…

计算机科学与博弈论 · 计算机科学 2011-09-29 Greg Linden , Christopher Meek , Max Chickering

Ad exchanges are becoming an increasingly popular way to sell advertisement slots on the internet. An ad exchange is basically a spot market for ad impressions. A publisher who has already signed contracts reserving advertisement…

数据结构与算法 · 计算机科学 2016-04-20 Wolfgang Dvořák , Monika Henzinger

We study the optimal placement of advertisements for interactive platforms like conversational AI assistants. Importantly, conversations add a feature absent in canonical search markets -- time. The evolution of a conversation is…

理论经济学 · 经济学 2025-02-06 Martino Banchio , Aranyak Mehta , Andres Perlroth

Digital advertising platforms and publishers sell ad inventory that conveys targeting information, such as demographic, contextual, or behavioral audience segments, to advertisers. While revealing this information improves ad relevance, it…

综合经济学 · 经济学 2026-01-15 Srinivas Tunuguntla , Carl F. Mela , Jason Pratt

This paper presents models for predicted click-through rates in position auctions that take into account two possibilities that are not normally considered---that the identities of ads shown in other positions may affect the probability…

计算机科学与博弈论 · 计算机科学 2014-09-17 Patrick Hummel , R. Preston McAfee

The information released to investors in financial markets has various forms. We refer to range information as information about the upper and lower bound which the payoff of a risky asset may reach in the future. This study develops…

理论经济学 · 经济学 2026-01-14 Jianhao Su , Yanliang Zhang

In many applications, ads are displayed together with the prices, so as to provide a direct comparison among similar products or services. The price-displaying feature not only influences the consumers' decisions, but also affects the…

人工智能 · 计算机科学 2023-03-24 Bin Li , Yahui Lei

This paper explores how ad platforms can utilize Bayesian persuasion within blockchain-based auction systems to strategically influence advertiser behavior despite increased transparency. By integrating game-theoretic models with machine…

综合经济学 · 经济学 2024-12-10 Xinyu Li

Mature internet advertising platforms offer high-level campaign management tools to help advertisers run their campaigns, often abstracting away the intricacies of how each ad is placed and focusing on aggregate metrics of interest to…

计算机科学与博弈论 · 计算机科学 2021-09-07 Vincent Conitzer , Christian Kroer , Debmalya Panigrahi , Okke Schrijvers , Eric Sodomka , Nicolas E. Stier-Moses , Chris Wilkens

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

This paper examines competitive information disclosure in search markets with a mix of savvy consumers, who search costlessly, and inexperienced consumers, who face positive search costs. Savvy consumers incentivize truthful disclosure;…

理论经济学 · 经济学 2025-06-11 Raphael Boleslavsky , Silvana Krasteva

Modern ad auctions allow advertisers to target more specific segments of the user population. Unfortunately, this is not always in the best interest of the ad platform. In this paper, we examine the following basic question in the context…

计算机科学与博弈论 · 计算机科学 2019-07-16 Ashwinkumar Badanidiyuru , Kshipra Bhawalkar , Haifeng Xu

Online platforms collect rich information about participants and then share some of this information back with them to improve market outcomes. In this paper we study the following information disclosure problem in two-sided markets: If a…

理论经济学 · 经济学 2023-09-01 Bar Light , Ramesh Johari , Gabriel Weintraub

Search auctions have become a dominant source of revenue generation on the Internet. Such auctions have typically used per-click bidding and pricing. We propose the use of hybrid auctions where an advertiser can make a per-impression as…

计算机科学与博弈论 · 计算机科学 2009-01-26 Ashish Goel , Kamesh Munagala

Interactions between bids to show ads online can lead to an advertiser's ad being shown to more men than women even when the advertiser does not target towards men. We design bidding strategies that advertisers can use to avoid such…

计算机科学与博弈论 · 计算机科学 2019-09-06 Milad Nasr , Michael Tschantz

In online advertising markets, budget-constrained advertisers acquire ad placements through repeated bidding in auctions on various platforms. We present a strategy for bidding optimally in a set of auctions that may or may not be…

计算机科学与博弈论 · 计算机科学 2023-06-14 Fransisca Susan , Negin Golrezaei , Okke Schrijvers
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