This website applies a recommendation system and continuous learning.
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Updated
May 25, 2024 - EJS
This website applies a recommendation system and continuous learning.
Introducción al Aprendizaje No Supervisado en Español
Recommending movies to user using various Colaborative Filtering and Content Based Filtering.
Research about Massive Data Processing Techniques in Data Science
Tool for simplifying to perform experiments with collaborative filtering models
A hybrid movie recommendation system developed with data from The Movie Database (TMDb)
Product Recommendation Platform Using Machine Learning and Uncertainty Modeling: Content-Based Filtering, Collavorative Filtering, Fuzzy logic, Sentiment analysis, Models probablistic, Association rules.
Sistema de Recomendacion de la plataforma Steam desarrollado
This Repo contains The Implementation of Content-Based Recommended System and Collaborative Filtering Recommended System for movies dataset in python.
The is a course project, a within-class kaggle competition targeting to recommend the courses to the potential buyer.
Recommender System Project This repository contains the implementation of various recommender system algorithms, including KNN, SVM, Decision Tree, and Matrix Factorization. The primary focus is on Matrix Factorization to provide personalized movie recommendations using the MovieLens dataset.
✨🎬 Explore seu Próximo Filme Favorito! Um sistema de recomendação colaborativa que personaliza sua experiência de entretenimento. 🍿✨
RecAnthology is a hybrid recommendation system for books, movies, and TV shows that combines content-based modeling and collaborative filtering with adaptive weighting, cold-start handling, and offline evaluation metrics to deliver measurable, personalized recommendations.
Recommendation Systems project from ML and BD Master Degree from UPM. Collaborative and content-based filtering competitions.
Noice-inspired hybrid audio recommendation system using public catalog-style metadata and synthetic listening events.
A new approach in designing and developing a collaborative-interactive movie recommender system based on user ratings
Sore - Spotify Recomendation
Backbones for Ranking and RecSys tasks
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