12 papers
Approximation Algorithms for Budget Splitting in Multi-Channel Influence Maximization
Dildar Ali, Ansh Jasrotia, Abishek Salaria +1
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.…
Tag-specific Regret Minimization Problem in Outdoor Advertising
Dildar Ali, Abishek Salaria, Ansh Jasrotia +1
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 eff…
Trajectory-Driven Multi-Product Influence Maximization in Billboard Advertising
Dildar Ali, Suman Banerjee, Rajibul Islam
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, wit…
Fairness Driven Multi-Agent Path Finding Problem
Aditi Anand, Dildar Ali, Suman Banerjee
The Multi-Agent Path Finding (MAPF) problem aims at finding non-conflicting paths for multiple agents from their respective sources to destinations. This problem arises in multiple…
Approximately Bisubmodular Regret Minimization in Billboard and Social Media Advertising
Dildar Ali, Suman Benerjee, 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 billboa…
Balanced Popularity in Multi-Product Billboard Advertisement
Dildar Ali, Suman Banerjee, 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 co…