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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

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

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

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

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

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

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…

Data Structures and Algorithms · Computer Science 2024-09-05 Dildar Ali , Harishchandra Kumar , Suman Banerjee , Yamuna Prasad

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

The typical algorithmic problem in viral marketing aims to identify a set of influential users in a social network, who, when convinced to adopt a product, shall influence other users in the network and trigger a large cascade of adoptions.…

Machine Learning · Computer Science 2014-04-17 Nan Du , Yingyu Liang , Maria Florina Balcan , Le Song

A typical viral marketing model identifies influential users in a social network to maximize a single product adoption assuming unlimited user attention, campaign budgets, and time. In reality, multiple products need campaigns, users have…

Social and Information Networks · Computer Science 2017-01-31 Nan Du , Yingyu Liang , Maria-Florina Balcan , Manuel Gomez-Rodriguez , Hongyuan Zha , Le Song

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

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…

Databases · Computer Science 2024-02-05 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

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

In this paper, we study the Multi-Round Influence Maximization (MRIM) problem, where influence propagates in multiple rounds independently from possibly different seed sets, and the goal is to select seeds for each round to maximize the…

Social and Information Networks · Computer Science 2019-06-07 Lichao Sun , Weiran Huang , Philip S. Yu , Wei Chen

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

Recently the influence maximization problem has received much attention for its applications on viral marketing and product promotions. However, such influence maximization problems have not taken into account the monetary effect on the…

Social and Information Networks · Computer Science 2015-05-26 Ya-Wen Teng , Chih-Hua Tai , Philip S. Yu , Ming-Syan Chen

The majority of influence maximization (IM) studies focus on targeting influential seeders to trigger substantial information spread in social networks. In this paper, we consider a new and complementary problem of how to further increase…

Social and Information Networks · Computer Science 2017-06-27 Yishi Lin , Wei Chen , John C. S. Lui

We study a submodular maximization problem motivated by applications in online retail. A platform displays a list of products to a user in response to a search query. The user inspects the first $k$ items in the list for a $k$ chosen at…

Computer Science and Game Theory · Computer Science 2022-10-24 Arash Asadpour , Rad Niazadeh , Amin Saberi , Ali Shameli
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