All projects

Web DevelopmentPython
Netflix Recommendation
About Project
This project implements a movie recommendation system using bipartite graph theory and collaborative filtering. Built as part of the Algorithms and Data Structures 2 course at the Faculty of Electrical Engineering (ETF), University of Sarajevo, it demonstrates practical applications of graph algorithms in real-world recommendation systems.
The system analyzes user-movie relationships in a bipartite graph structure to find similar users and recommend movies based on shared preferences using Jaccard similarity and common neighbors algorithms.
Gallery
1 / 3Built with
PythonFlaskNetworkXJavaScriptHTMLCSS