movielen

A terminal-first personalized movie recommendation engine powered by hybrid retrieval (BM25 + HNSW), cross-encoders, and learning-to-rank on MovieLens-25M.

UCI EECS 298 NS: Graph Recommendation System (course project)

Movie Recommendation System: Matrix Factorization | PTIT Course

Système de recommandation de films sur MovieLens 20M : filtrage collaboratif et reinforcement learning

Um projeto que consegue unir práticas de Engenharia de dados, Machine Learning, construção e consumo de APIs, desenvolvimento frontend e backend.

Mini recommendation engine using MovieLens-100k and SVD. Demonstrates skills in collaborative, filtering, model training and deployment

Graph Neural Network recommendation system using LightGCN on MovieLens 100K with a FastAPI serving layer and interactive frontend

Movie recommendation engine using SVD Matrix Factorization and Collaborative Filtering on MovieLens data with a Flask web app.