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Bidding strategies that help advertisers determine bidding prices are receiving increasing attention as more and more ad impressions are sold through real-time bidding systems. This paper first describes the problem and challenges of…

Computer Science and Game Theory · Computer Science 2022-12-06 Mengjuan Liu , Zhengning Hu , Zhi Lai , Daiwei Zheng , Xuyun Nie

Unexpected advertising items in sponsored search may reduce users' reliance on organic search, resulting in hidden cost for the e-commerce platform. To address this problem and promote sustainable growth, we propose a dynamic reserve price…

Computer Science and Game Theory · Computer Science 2025-08-26 Mang Li

As generative AI (GenAI) increasingly permeates design workflows, its impact on design outcomes and designers' creative capabilities warrants investigation. We conducted a within-subjects experiment where we asked participants to design…

Human-Computer Interaction · Computer Science 2024-11-04 Yue Fu , Han Bin , Tony Zhou , Marx Wang , Yixin Chen , Zelia Gomes Da Costa Lai , Jacob O. Wobbrock , Alexis Hiniker

Photo collage aims to automatically arrange multiple photos on a given canvas with high aesthetic quality. Existing methods are based mainly on handcrafted feature optimization, which cannot adequately capture high-level human aesthetic…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Mingrui Zhang , Mading Li , Li Chen , Jiahao Yu

Driven by the new economic opportunities created by the creator economy, an increasing number of content creators rely on and compete for revenue generated from online content recommendation platforms. This burgeoning competition reshapes…

Information Retrieval · Computer Science 2024-04-30 Fan Yao , Yiming Liao , Mingzhe Wu , Chuanhao Li , Yan Zhu , James Yang , Qifan Wang , Haifeng Xu , Hongning Wang

We consider adaptive decision-making problems where an agent optimizes a cumulative performance objective by repeatedly choosing among a finite set of options. Compared to the classical prediction-with-expert-advice set-up, we consider…

Machine Learning · Computer Science 2023-04-10 Michael Muehlebach

A large share of all online display advertisements (ads) are never seen by a human. For instance, an ad could appear below the page fold, where a user never scrolls. Yet, an ad is essentially ineffective if it is not at least somewhat…

Computers and Society · Computer Science 2020-08-28 Christina Uhl , Nadia Abou Nabout , Klaus Miller

We present a new algorithm for behavioral targeting of banner advertisements. We record different user's actions such as clicks, search queries and page views. We use the collected information on the user to estimate in real time the…

Information Retrieval · Computer Science 2011-01-19 Fabrizio Caruso , Giovanni Giuffrida , Calogero Zarba

Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognition (AR) approaches examine ads via the text modality, and…

Human-Computer Interaction · Computer Science 2019-06-04 Abhinav Shukla , Shruti Shriya Gullapuram , Harish Katti , Mohan Kankanhalli , Stefan Winkler , Ramanathan Subramanian

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…

Machine Learning · Computer Science 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…

Social and Information Networks · Computer Science 2015-05-14 Shaojie Tang , Jing Yuan

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

Attention-Aware Social Choice tackles the fundamental conflict faced by some agent communities between their desire to include all members in the decision making processes and the limited time and attention that are at the disposal of the…

Computers and Society · Computer Science 2023-09-25 Lior Ashkenazy , Nimrod Talmon

In the classic Adwords problem introduced by Mehta et al.\ (2007), we have a bipartite graph between advertisers and queries. Each advertiser has a maximum budget that is known a priori. Queries are unknown a priori and arrive sequentially.…

Data Structures and Algorithms · Computer Science 2024-03-29 Rajan Udwani

Online retailers often use third-party demand-side-platforms (DSPs) to conduct offsite advertising and reach shoppers across the Internet on behalf of their advertisers. The process involves the retailer participating in instant auctions…

Systems and Control · Electrical Eng. & Systems 2023-10-26 Hangjian Li , Dong Xu , Konstantin Shmakov , Kuang-Chih Lee , Wei Shen

Generative AI is increasingly transforming creativity into a hybrid human-artificial process, but its impact on the quality and diversity of creative output remains unclear. We study collective creativity using a controlled word-guessing…

Social and Information Networks · Computer Science 2026-02-27 Chenyi Li , Raja Marjieh , Haoyu Hu , Mark Steyvers , Katherine M. Collins , Ilia Sucholutsky , Nori Jacoby

In natural language generation for advertising, creating diverse and engaging ad texts is crucial for capturing a broad audience and avoiding advertising fatigue. Regardless of the importance of diversity, the impact of the…

Computation and Language · Computer Science 2025-05-23 Yoichi Aoki , Soichiro Murakami , Ukyo Honda , Akihiko Kato

As AI-driven agents become increasingly integrated into the digital ecosystem, they reshape how online advertising is perceived and processed. Particularly in the travel and hotel booking sector, these autonomous systems influence the…

Information Retrieval · Computer Science 2025-07-16 Andreas Stöckl , Joel Nitu

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

Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and creativity. This paper introduces AutoPoster, a highly…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Jinpeng Lin , Min Zhou , Ye Ma , Yifan Gao , Chenxi Fei , Yangjian Chen , Zhang Yu , Tiezheng Ge