A hybrid recommendation system for online movie streaming platforms

Abstract

" In the last couple of decades, there has been a rapid increase in the use of recommendation systems. Even though there has been many approaches proposed from various studies, there is a very less amount of researches has addressed the common recommendation problems such as cold- start problem, over specialization and accuracy issues. This research is carried out on proposing a hybrid approach using traditional methods as well as machine learning to address all those above-mentioned problems at once and optimize the effectiveness of recommendation systems."