Neural Graph Collaborative Filtering, SIGIR2019
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Updated
May 7, 2020 - Python
Neural Graph Collaborative Filtering, SIGIR2019
Factorization Machine models in PyTorch
Some deep learning based recsys for open learning.
Recommender Systems Paperlist that I am interested in
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)
PyTorch Implementation for Neural Graph Collaborative Filtering
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Disentagnled Graph Collaborative Filtering, SIGIR2020
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Change keras version to v2.1.3, and use tensorflow as the backend.
pytorch version of NCF
Neural recommender system implementation in TensorFlow.
PyTorch Implemenation for Neural Graph Collaborative Filtering
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.
A Deep Learning Based Context-Aware Recommendation Library
사용자의 취향에 따라 서울 내의 데이트 코스를 추천해주는 앱
Neural Collaborative Filtering using Keras
Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
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