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Top 198 recommender-system open source projects

Tensorrec
A TensorFlow recommendation algorithm and framework in Python.
Collaborative Rnn
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Collaborative Deep Learning For Recommender Systems
The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Likelike
An implementation of locality sensitive hashing with Hadoop
Rexy
Flexible and extendable recommender system based on an abstract User-Product-Tag schema
Ml Surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Consimilo
A Clojure library for querying large data-sets on similarity
Elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
Elastic Graph Recommender
Building recommenders with Elastic Graph!
Orange3 Recommendation
🍊 👎 Add-on for Orange3 to support recommender systems.
Recq
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
Recsys19 hybridsvd
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Rfdmovies Client
🎬instant recommending or finding or downloading movies via the command line
Recsys2019 deeplearning evaluation
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.
Recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Yedda
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
Awesome Recsys Papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Knowledge graph attention network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Newsrecommendsystem
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.
Rsalgorithms
Some algorithms about traditional and social recommendation.
Buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Neural factorization machine
TenforFlow Implementation of Neural Factorization Machine
Sasrec
SASRec: Self-Attentive Sequential Recommendation
Attentional factorization machine
TensorFlow Implementation of Attentional Factorization Machine
Recnn
Reinforced Recommendation toolkit built around pytorch 1.7
Lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
Product Nets
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
Winerama Recommender Tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Recsys
项亮的《推荐系统实践》的代码实现
Recdb Postgresql
RecDB is a recommendation engine built entirely inside PostgreSQL
Dsin
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Summary Of Recommender System Papers
阅读过的推荐系统论文的归类总结,持续更新中…
Daisyrec
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
JNSKR
This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)
SAE-NAD
The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
multi channel bpr
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
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