Neural Collaborative Filtering
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Updated
Aug 27, 2022 - Python
Neural Collaborative Filtering
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A unified, comprehensive and efficient recommendation library
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Deep learning for recommender systems
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Neural Graph Collaborative Filtering, SIGIR2019
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Factorization Machine models in PyTorch
Next RecSys Library
A Comparative Framework for Multimodal Recommender Systems
Book recommender system using collaborative filtering based on Spark
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
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)
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Versatile End-to-End Recommender System
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
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