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
A Deep Learning Based Context-Aware Recommendation Library
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.
Neural Collaborative Filtering using Keras
사용자의 취향에 따라 서울 내의 데이트 코스를 추천해주는 앱
Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
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