There are 5 repositories under neural-collaborative-filtering topic.
Factorization Machine models in PyTorch
Neural Graph Collaborative Filtering, SIGIR2019
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Recommender Systems Paperlist that I am interested in
Some deep learning based recsys for open learning.
PyTorch Implementation for Neural Graph Collaborative Filtering
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Disentagnled Graph Collaborative Filtering, SIGIR2020
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
pytorch version of NCF
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
PyTorch Implemenation for Neural Graph Collaborative Filtering
A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Change keras version to v2.1.3, and use tensorflow as the backend.
Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
A Deep Learning Based Context-Aware Recommendation Library
Neural recommender system implementation in TensorFlow.
사용자의 취향에 따라 서울 내의 데이트 코스를 추천해주는 앱
Neural Collaborative Filtering with MovieLens in pytorch
分别使用传统方法(KNN,SVD,NMF等)和深度方法(NCF)进行推荐系统的评分预测。Traditional methods (KNN, SVD, NMF, etc.) and depth method (NCF) were used to predict rating of the recommendation system.
Neural recommendation models in Python, using Tensorflow 2.0 & Keras.
Neural Collaborative Filtering using Keras
This is the source code for my MSc thesis on Hybrid Recommendation Systems using Neural Networks.
Recommender System ⬩ Created a Neural Collaborative Filtering Recommender System to predict user engagement/interaction using movies from 1995 to 2020 in the MovieLens dataset.
A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
Neural collaborative filtering (NCF) method is used for Microsoft MIND news recommendation dataset.
Implementation of NCF paper (https://arxiv.org/abs/1708.05031). Optional, you can use item and user features to reach higher scores
Anime Recommender System with various recommender system algorithms implemented in python
PyTorch Implementation for J-NCF (ACM Transactions on Information Systems, 2019)
Implementation of paper Neural Collaborative Filtering in PyTorch.
Neural Collaborative Filtering implementation in Swift for TensorFlow
The repository consists of a recommendation engine that suggests movies to the users based on the genre and ratings previously received. Under the hood, a neural collaborative filtering technique has been implemented
Neural collaborative filtering recommendation system on Movie lens 100k dataset