A Curated List of Must-read Papers on Recommender System.
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Updated
May 9, 2024
A Curated List of Must-read Papers on Recommender System.
LibRec: A Leading Java Library for Recommender Systems, see
Gorse open source recommender system engine
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
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.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Deep learning for recommender systems
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
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
recommender system library for the CLR (.NET)
4 different recommendation engines for the MovieLens dataset.
Variational autoencoders for collaborative filtering
pytorch version of neural collaborative filtering
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