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Research Article | Open Access
Volume 15 2023 | None
MOVIE RECOMMENDATION ENGINE
Dr. S.DEEPIKA, AKKALDEV SHIVA ADITHYA MUDIRAJ, JENIGALA ASHOK KUMAR, EMBADI SAI VINEETH
Pages: 705-709
Abstract
The movie recommendation engine is a web application built using Node.js and JavaScript that aims to provide personalized movie suggestions to users based on their preferences. The application utilizes collaborative filtering and content-based filtering techniques to generate relevant movie recommendations for each user. A movie recommendation engine built with Node.js and JavaScript provides a dynamic platform for users to discover new movies that align with their interests. By leveraging user data and implementing recommendation algorithms, the system can deliver personalized and engaging movie suggestions to enhance the user experience. Database: The application requires a database to store information about movies, user preferences, and viewing history. MongoDB, MySQL, or any other suitable database can be used for this purpose. Data Collection: Users' movie preferences and viewing history can be collected through ratings, reviews, and user interactions with the application. The movie recommendation engine utilizes collaborative filtering techniques to analyze user behavior and recommend movies that are similar to those previously enjoyed by the user or similar to movies that other users with similar tastes have liked. The engine employs a recommendation algorithm, which combines content-based and collaborative filtering methods, along with machine learning techniques, to continuously improve the accuracy of its suggestions.
Keywords
The movie recommendation engine is a web application built using Node.js and JavaScript that aims to provide personalized movie suggestions to users based on their preferences.
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