Title: Dynamic programming approach to achieve higher view-count for YouTube videos

Authors: Mohammed Shahid Irshad; Adarsh Anand; Sankar Kumar Roy

Addresses: Department of Operational Research, University of Delhi, Delhi 110007, India ' Department of Operational Research, University of Delhi, Delhi 110007, India ' Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore-721102, West Bengal, India

Abstract: Broadcast media telecasts their programs at fixed timing, which forces the viewer to be presented at the time of broadcast whereas online streaming platforms allows viewers to watch videos any time. YouTube being the free streaming platform attracts lot of viewers where short videos are uploaded. With its growing popularity content creators have started uploading series of scripted or non-scripted content (video) in episode forms known as a web series. A web series usually has 5-10 episodes, and each episode is uploaded independently. The producers desire maximum view-counts with minimum promotional expenditure on each web series. This paper presents an optimisation modelling framework for budget allocation in order to achieve a greater number of view-counts. The proposed framework takes into consideration the aspiration level for the episodes wherein; dynamic programming approach has been utilised to numerically illustrate the validation on two web series on YouTube.

Keywords: budget allocation; dynamic programming; view-count; web series; YouTube.

DOI: 10.1504/IJOR.2023.129965

International Journal of Operational Research, 2023 Vol.46 No.4, pp.437 - 450

Received: 01 Jun 2020
Accepted: 30 Jul 2020
Published online: 04 Apr 2023 *

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