Analysing Binge-Watching Behaviour Using Data Mining Techniques

Advancements in new technology have lead people towards Netflix and Prime wherein people can watch several series and movies sitting at their own convenient time and place These have further lead to a new term “binge watching” where people tend to sit for hours to watch a series or movie in rapid succession. Most people consider binge watching as a hobby while for some it becomes a daily routine. The term binge refers to excess eating or drinking. People tend to feel happy when they are binge watching as it gives them a pleasure and relaxation to mind amidst their busy schedules. Binge watching has its own pros and cons which will be discussed in this paper. This paper discusses the percentage of people addicted to binge watching and the effects and causes of binge watching using data mining techniques. Experimental results showed the impact of binge watching is higher among the people of age group 15-27.