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.
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
PyTorch Implementation for Neural Graph Collaborative Filtering
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Disentagnled Graph Collaborative Filtering, SIGIR2020
Experimental codes for paper "Outer Product-based Neural 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.
Item Silk Road: Recommending Items from Information Domains to Social Users, SIGIR2017
PyTorch Implemenation for Neural Graph Collaborative Filtering
A Deep Learning Based Context-Aware Recommendation Library
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
사용자의 취향에 따라 서울 내의 데이트 코스를 추천해주는 앱
Neural recommender system implementation in TensorFlow.
Neural Collaborative Filtering with MovieLens in pytorch
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