GitHub

Movie Recommendation System Using User-Based Collaborative Filtering

This project involves building a movie recommendation system using user-based collaborative filtering with the k-Nearest Neighbors (KNN) algorithm. The model was trained on the Movielens 100k dataset, ...
GitHub

Bineet-Ratna-Shakya/AI-Powered-Movie-Recommendations

This project implements a hybrid recommendation system that combines collaborative filtering (using Singular Value Decomposition, SVD) and content-based filtering (using TF-IDF and Cosine Similarity) ...
IEEE

VCFGAN: A Two-stage Collaborative Filtering Framework based on Variational Autoencoders and Generative Adversarial Networks

Abstract: Deep generative models, such as Generative Adversarial Networks (GAN) and Variational Autoencoders (VAE), are widely used in collaborative filtering. They usually learn users’ preferences ...
IEEE

Collaborative Information Completion for Robust Graph Collaborative Filtering

Abstract: Collaborative information learned from the user-item interactions is widely used to present user preferences in recommender systems. Graph collaborative filtering approaches (GCF) could ...
ZDNet

Collaborative filtering: comparing Reddit's karma system to Digg

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