Smart Technology Enhancing User-Centric Movie Recommendations
Priyanka Kaushik, G.C. Bansal, Kartik, Rahul Ranjan Srivastava, Chirayu Kapoor, Mitushi Arora
Abstract
Everyone, regardless of their age, gender, ethnicity, color, or location, finds pleasure in watching movies. This medium connects us all in a unique way. What’s even more thrilling is how diversified our tastes in movies can be. Some people opt for definite genres: thrillers, romances, science fiction, or are interested in actors and directors. With such tastes, it’s pretty impossible to generalize this or that particular movie to please most of them. However, there’s a group of people who share similar movie tastes. This is where I, as a data scientist, come in. Without further ado, let’s dive into the basics of such a system by analyzing behaviors and movie trends within the audience to build recommendation systems.