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Movie recommendation system using machine learning

 Department:Computer Science  
 By:usericon olagok01  

 Project ID: 9022
 Rating:  (5.0) votes: 1
   Price:₦5000
Abstract
The exponential growth of digital content on streaming platforms has created a paradigm of choice overload for users, making it increasingly difficult to discover relevant movies. To address this challenge, this project designs and implements a movie recommendation system powered by machine learning. The system leverages collaborative filtering techniques to identify patterns in user-movie interaction data, such as ratings and watch history, to predict user preferences. Furthermore, content-based filtering methods are explored to analyze movie attributes like genre, director, and plot keywords. The proposed solution aims to create a hybrid model that synergizes these approaches to provide highly accurate and personalized movie recommendations. The effectiveness of the model is evaluated using standard metrics like Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) on a benchmark dataset. The results demonstrate the system's potential to significantly enhance user experience by facilitating content discovery and increasing engagement on media platforms....
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