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Top 88 collaborative-filtering open source projects

Recommendationsystem
Book recommender system using collaborative filtering based on Spark
Recommender
A C library for product recommendations/suggestions using collaborative filtering (CF)
Recommender System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Polara
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Collaborativememorynetwork
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Book recommend
基于协同过滤的书籍推荐系统
Rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Recotour
A tour through recommendation algorithms in python [IN PROGRESS]
Movielens Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Metarec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Enmf
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Deepicf
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
Movie Recommender System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Graphmat
GraphMat graph analytics framework
Recommend
Python 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
Rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
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.
Consimilo
A Clojure library for querying large data-sets on similarity
Deepmatch
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.
Elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
Movie
Personalized real-time movie recommendation system
Deeprec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Mrsr
MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Recsys19 hybridsvd
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Letterboxd recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
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.
Recbole
A unified, comprehensive and efficient recommendation library
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.
Pytorch Fm
Factorization Machine models in PyTorch
Competitive Recsys
A collection of resources for Recommender Systems (RecSys)
Vae cf
Variational autoencoders for collaborative filtering
Paperlist For Recommender Systems
Recommender Systems Paperlist that I am interested in
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
Movielens
4 different recommendation engines for the MovieLens dataset.
recsys spark
Spark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
1-60 of 88 collaborative-filtering projects