Enhancing Movie Recommendation Efficiency Using Ensemble Learning Techniques
Nitasha, Aniket Kumar Pandey, Ankit Yadav, Subrat Mishra, Medhanshi · 2024
This research paper explores the “Movie Dataset” to create a better movie recommendation. The data includes many features such as genre, ratings, players, and user preferences. Our main goal is to find the best combination model combining SVD (Singular Value Decomposition), SVD++ (SVD with Implicit Feedback) and KNN Baseline (K Nearest Neighbors with Baseline) recommendation algorithms to improve prediction accuracy and recommendations. The rapid expansion of digital media platforms has created a lot of information in the entertainment industry, making movie recommendations very important for the development of consumers. Through our research, we focus on the development of personalized movie recommendations and user satisfaction in the field of digital entertainment.