A Game Theory Model for Optimization of the OTT Platform Strategies

Prajwal S. Gaikwad, Shabnam Sayyad
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Abstract

OTT television and film material is a method of delivering television and cinema content on the web at the request of and in accordance with the preferences of the individual user. The word “over-the-top” is an abbreviation for “over-the-top,” which signifies that a content provider is providing services on top of already existing internet services. During the pandemic period, the requirement for this infrastructure has increased by orders of magnitude. In India the two upcoming players Amazon Prime Video and Netflix have become the prior choice as compared to the daily soaps and the movie budgets. This research study focuses on the prime factors as the strategies of these two competitors to build up the two-person game theory model. A survey is conducted among the users of these two players as to find the trends of the identified factors. The regression models Y on X and X on Y are used to find the values of payoff matrix and then Game theory model is solved to find out the optimum strategies. The study is expected to benefit the various competitors of the OTT domain to build their strategies.
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OTT平台策略优化的博弈论模型
OTT电视和电影材料是一种根据个人用户的要求和偏好在网络上提供电视和电影内容的方法。“over- top”是“over- top”的缩写,意思是内容提供商在已有的互联网服务之上提供服务。在大流行期间,对这种基础设施的需求增加了几个数量级。在印度,与日常肥皂剧和电影预算相比,亚马逊Prime视频和Netflix这两家即将到来的公司已经成为首选。本研究主要研究这两个竞争者的策略等主要因素,建立二人博弈论模型。我们对这两个玩家的用户进行了调查,以找出识别因素的趋势。分别利用Y对X和X对Y的回归模型求出收益矩阵的值,然后通过求解博弈论模型求出最优策略。该研究有望使OTT领域的各种竞争对手受益,以制定他们的战略。
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