Système de recommandations

(à venir)

Lectures

• Item-Based Collaborative Filtering Recommendation Algorithms

• Recommendations in Keras using triplet loss

• AutoRec: Autoencoders Meet Collaborative Filtering, Hybrid Recommender System based on Autoencoders

• ACP et factorisation de matrices

• The Why and How of Nonnegative Matrix Factorization

• A tutorial on Non-Negative Matrix Factorisation with Applications to Audiovisual Content Analysis

• Large-Scale Matrix Factorization with Missing Data under Additional Constraints

• Quick Guide to Build a Recommendation Engine in Python

• Recommender Systems in Python: Beginner Tutorial

• Recommender Systems Using Linear Classifiers (approche intéressante)

• A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

• Offline A/B Testing for Recommender Systems

• Probabilistic Matrix Factorization

• A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems

• Smart Adaptive Recommendations (SAR) Algorithm

• Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG

• A quantum-inspired classical algorithm for recommendation systems

Modules

• scikit-learn

• NonnegMFPy : implémentation de l’algorithme décrit dans l’article Large-Scale Matrix Factorization with Missing Data under Additional Constraints

• scikit-surprise (documentation)

• pyrwr