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相关论文: Towards Regret Free Slot Allocation in Billboard A…

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In a typical billboard advertisement technique, a number of digital billboards are owned by an influence provider, and many advertisers approach the influence provider for a specific number of views of their advertisement content on a…

数据库 · 计算机科学 2024-02-05 Dildar Ali , Suman Banerjee , Yamuna Prasad

Social Media Advertisement has emerged as an effective approach for promoting the brands of a commercial house. Hence, many of them have started using this medium to maximize the influence among the users and create a customer base. In…

社会与信息网络 · 计算机科学 2025-04-02 Poonam Sharma , Dildar Ali , Suman Banerjee

We study the problem of minimizing regret in multi-mode advertisement settings, where an influence provider allocates advertising resources such as social network seeds and billboard slots to multiple advertisers with specified influence…

计算机科学与博弈论 · 计算机科学 2025-11-27 Dildar Ali , Suman Benerjee , Yamuna Prasad

In billboard advertisement, a number of digital billboards are owned by an influence provider, and several commercial houses (which we call advertisers) approach the influence provider for a specific number of views of their advertisement…

计算机科学与博弈论 · 计算机科学 2025-02-11 Dildar Ali , Suman Banerjee , Shweta Jain , Yamuna Prasad

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

Motivated by online retail, we consider the problem of selling one item (e.g., an ad slot) to two non-excludable buyers (say, a merchant and a brand). This problem captures, for example, situations where a merchant and a brand cooperatively…

计算机科学与博弈论 · 计算机科学 2025-05-26 Gagan Aggarwal , Ashwinkumar Badanidiyuru , Paul Dütting , Federico Fusco

In this paper, we study the problem of allocating ads to users through the viral-marketing lens. Advertisers approach the host with a budget in return for the marketing campaign service provided by the host. We show that allocation that…

社会与信息网络 · 计算机科学 2015-08-26 Cigdem Aslay , Wei Lu , Francesco Bonchi , Amit Goyal , Laks V. S. Lakshmanan

The billboard advertisement has emerged as an effective out-of-home advertisement technique where the objective is to choose a limited number of slots to play some advertisement content (e.g., animation, video, etc.) with the hope that the…

数据库 · 计算机科学 2025-10-24 Dildar Ali , Suman Banerjee , Yamuna Prasad

Billboard Advertisement has emerged as an effective out-of-home advertisement technique where the goal is to select a limited number of slots and play advertisement content over there with the hope that this will be observed by many people,…

数据结构与算法 · 计算机科学 2025-10-13 Dildar Ali , Rajibul Islam , Suman Banerjee

Billboard Advertisement has emerged as an effective out-of-home advertisement technique and adopted by many commercial houses. In this case, the billboards are owned by some companies and they are provided to the commercial houses…

数据库 · 计算机科学 2022-07-15 Dildar Ali , Suman Banerjee , Yamuna Prasad

Given billboard and trajectory database, finding a limited number of billboard slots for maximizing the influence is an important problem in the context of billboard advertisement. Most of the existing literature focused on the influential…

数据库 · 计算机科学 2024-04-22 Dildar Ali , Suman Banerjee , Yamuna Prasad

The selection of influential billboard slots remains an important problem in billboard advertisements. Existing studies on this problem have not considered the case of context-specific influence probability. To bridge this gap, in this…

数据结构与算法 · 计算机科学 2025-06-23 Dildar Ali , Suman Banerjee , Yamuna Prasad

Billboard Advertising has emerged as an effective out-of-home advertising technique, where the goal is to select a limited number of slots and play advertisement content there, with the hope that it will be observed by many people and,…

数据库 · 计算机科学 2026-01-22 Dildar Ali , Suman Banerjee , Rajibul Islam

Recently, out-of-home advertising has become a popular marketing technique, due to its higher return on investment. E-commerce houses approach the influence provider to achieve effective advertising through their tags (advertising content),…

数据库 · 计算机科学 2026-03-09 Dildar Ali , Abishek Salaria , Ansh Jasrotia , Suman Banerjee

Billboard Advertisement has gained popularity due to its significant outrage in return on investment. To make this advertisement approach more effective, the relevant information about the product needs to be reached to the relevant set of…

数据结构与算法 · 计算机科学 2024-09-05 Dildar Ali , Harishchandra Kumar , Suman Banerjee , Yamuna Prasad

How to utilize an allocated budget effectively for branding and promotion of a commercial house is an important problem, particularly when multiple advertising media are available. There exist multiple such media, and among them, two…

数据结构与算法 · 计算机科学 2026-04-02 Dildar Ali , Ansh Jasrotia , Abishek Salaria , Suman Banerjee

Billboard advertising is a popular out-of-home advertising technique adopted by commercial houses. Companies own billboards and offer them to commercial houses on a payment basis. Given a database of billboards with slot information, we…

数据库 · 计算机科学 2023-05-17 Dildar Ali , Suman Banerjee , Yamuna Prasad

Nowadays, billboard advertising has emerged as an effective advertising technique due to higher returns on investment. Given a set of selected slots and tags, how to effectively assign the tags to the slots remains an important question. In…

数据结构与算法 · 计算机科学 2024-09-17 Dildar Ali , Suman Banerjee , Yamuna Prasad

Online advertising has recently grown into a highly competitive and complex multi-billion-dollar industry, with advertisers bidding for ad slots at large scales and high frequencies. This has resulted in a growing need for efficient…

机器学习 · 计算机科学 2023-07-04 Zhe Feng , Swati Padmanabhan , Di Wang

We study online decision making problems under resource constraints, where both reward and cost functions are drawn from distributions that may change adversarially over time. We focus on two canonical settings: $(i)$ online resource…

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