Crop recommend System on the basis of location .
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
Leveraging Neo4j for recommending Job
Project data science Python membuat rekomendasi film menggunakan metode Machine Learning
A project for the subject "New uses of Computing Science" at Universitat de Barcelona
Sistema de recomendaciĂłn para la compra de un producto electrĂłnico, incorpora resultados de bĂşsqueda de Amazon, Ebay, Linio, OLX, Mercado Libre Colombia, Dondo, Exito.com y Falabella.
Create higher-quality recommendations in your e-Commerce platform
🎥👨‍🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods
Are you confused about what to binge-watch next? Welcome to the Precog-Movie-Recommender. Just enter ratings about 5 movies which we will show you, and we will recommend you what to view next.
Machine Learning Terapan - Submission 2
Different machine learning methods are used in this repository. It contains more than one sample notebook for these methods.
Product recommendation application, implemented with Angular 6, with demo in:
🎥 Non-trivial film search project based on NLP
Curso Machine Learning por la Universidad de Stanford, a través de la plataforma Coursera. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/machine-learning
This project implements a robust recommender system for book recommendations, leveraging ensemble methods, user-specific strategies, XGBoost, and extensive data preprocessing to achieve high performance in the Recommender System 2023 Challenge hosted by Kaggle for students of Politecnico di Milano's Recommender Systems course.
Maven project that consists of a book and movie recommendation system based in Apache Mahout artificial intelligence algorithm.
Leveraging Neo4j for recommending Job
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