Movies Recommendation System Using Machine Learning Algorithms
Zohaib Tahir, Kunwar Babar Ali · 2023
Movie recommendation system is a type of recommendation engine that uses data on user preferences and characteristics of movies to provide personalized movie suggestions. It aims to enhance user experience and engagement by offering relevant and appealing movie choices, increasing the likelihood of users finding movies that align with their interests. When designing a movie recommendation system, various factors can be taken into account. These factors may include movie genre, actors, director, release year, ratings, and user reviews. In the paper, the recommendation system is built using a content-based filtering approach, specifically focusing on movie genres. Content-based filtering analyzes the characteristics or content of items (in this case, movies) to make recommendations.