2024-08-262024-08-262024-08-262023-10-30http://localhost:8080/handle/prefix/6615This project focuses on building a movie and product recommendation system using machine learning techniques. The goal is to develop a model that can suggest movies or products based on a user’s previous choices and interactions. To achieve this, the project explores a variety of approaches, from content analysis and collaborative filtering to hybrid methods, in order to maximize the accuracy of recommendations. The importance of this project is not limited to its application in movie streaming platforms or online stores. The ability to recommend relevant products is a valuable skill that can be applied in a variety of fields, including e-commerce, digital marketing, libraries, museums, entertainment, and more. Ultimately, this project aims to provide a practical understanding of the process of developing recommendation systems, enabling students to apply these skills in real-world scenarios and understand the growing importance of AI in improving user experiences.Acesso AbertoAnálise - Desenvolvimento - SistemasInteligência ArtificialSistemas computacionais: segurançaCNPQ::CIENCIAS EXATAS E DA TERRARelatório de Pesquisa