Decoding OTT: Uncovering Global Insights for Film Industry Advancement and Cultural Exchange

This study explores the effects of over-the-top content by examining data from popular streaming services such as Netflix, Hotstar Disney Plus, and Amazon Prime in order to learn more about consumer preferences, industry trends, and cross-cultural film exchange. To improve user experience, the study makes use of techniques including textual reviews analysis and machine learning methods (K-Means Clustering, Linear Regression, and Support Vector Machine Regression). Issues with OTT platforms, like the churn issue and biased content recommendations, are discussed. The aim is to suggest methods for impartial advice, alleviating the cold start issue, handling sparse data, and preventing customer churn. The goal of the study is to promote a positive interaction between platforms and their audience while advancing personalized suggestions, enhanced content production, and market expansion in the over-the-top (OTT) business.