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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…

Information Retrieval · Computer Science 2024-01-31 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…

Databases · Computer Science 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…

Data Structures and Algorithms · Computer Science 2025-06-23 Dildar Ali , Suman Banerjee , Yamuna Prasad

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…

Computer Science and Game Theory · Computer Science 2025-11-27 Dildar Ali , Suman Benerjee , Yamuna Prasad

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…

Databases · Computer Science 2023-05-17 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…

Social and Information Networks · Computer Science 2025-04-02 Poonam Sharma , Dildar Ali , Suman Banerjee

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…

Computer Science and Game Theory · Computer Science 2025-02-11 Dildar Ali , Suman Banerjee , Shweta Jain , Yamuna Prasad

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…

Databases · Computer Science 2025-10-24 Dildar Ali , Suman Banerjee , Yamuna Prasad

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…

Databases · Computer Science 2022-07-15 Dildar Ali , 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…

Data Structures and Algorithms · Computer Science 2026-04-02 Dildar Ali , Ansh Jasrotia , Abishek Salaria , Suman Banerjee

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),…

Databases · Computer Science 2026-03-09 Dildar Ali , Abishek Salaria , Ansh Jasrotia , Suman Banerjee

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

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,…

Data Structures and Algorithms · Computer Science 2025-10-13 Dildar Ali , Rajibul Islam , Suman Banerjee

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,…

Databases · Computer Science 2026-01-22 Dildar Ali , Suman Banerjee , Rajibul Islam

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…

Social and Information Networks · Computer Science 2015-08-26 Cigdem Aslay , Wei Lu , Francesco Bonchi , Amit Goyal , Laks V. S. Lakshmanan

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…

Computer Science and Game Theory · Computer Science 2025-05-26 Gagan Aggarwal , Ashwinkumar Badanidiyuru , Paul Dütting , Federico Fusco

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…

Machine Learning · Computer Science 2023-07-04 Zhe Feng , Swati Padmanabhan , Di Wang

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…

Data Structures and Algorithms · Computer Science 2024-09-17 Dildar Ali , Suman Banerjee , Yamuna Prasad

Learning good interventions in a causal graph can be modelled as a stochastic multi-armed bandit problem with side-information. First, we study this problem when interventions are more expensive than observations and a budget is specified.…

Machine Learning · Computer Science 2020-12-15 Vineet Nair , Vishakha Patil , Gaurav Sinha

In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards $U$ (each with a location and a cost), a database of trajectories $\mathcal{T}$ and a budget $L$, find a set of…

Social and Information Networks · Computer Science 2018-09-18 Ping Zhang , Zhifeng Bao , Yuchen Li , Guoliang Li , Yipeng Zhang , Zhiyong Peng
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