-74813b3e17f460286dfa39 20220618044156475 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 07 30 2022 11 8 Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT), Ha Noi, Vietnam, and Department of Computing Fundamental, FPT University, Hanoi, Vietnam. Dr. Phan Thi Ha Trinh Thi Van Anh Lecturer, Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT), Ha Noi, Vietnam, and Department of Computing Fundamental, FPT University, Hanoi, Vietnam. The recommendation system integrated in movie streaming provides relevant information to viewers predicted by viewers’ past behaviors. There are basically two methods, Content-Based Filtering and Collaborative Filtering. In this article, our focus is on the second method which is based on memory, namely Neighborhood-based Collaborative Filtering (NBCF), to make movie recommendations to users given users’ information. Simultaneously, we have built an online movie website and integrated the movie recommendation system based on NBCF to assist users in movie selection. In the process of building the website, apart from building diagram of movie recommendation system’s functions, class diagram of movie recommendation function, sequence diagram of movie recommendation function, we also build a user-recommended movie model based on the Movies Lens[9] dataset for a fairly high accuracy, which is 99%. 07 30 2022 14 16 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H9126.0711822 https://www.ijitee.org/portfolio-item/h91260711822/