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Implicit
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3,322
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Librec
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3,113
LibRec: A Leading Java Library for Recommender Systems, see
Neural_collaborative_filtering
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1,515
Neural Collaborative Filtering
Neurec
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861
Next RecSys Library
Awesome Recsys Papers
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614
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Jstarcraft Rns
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368
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
Awesome Recsys
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351
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Neural_graph_collaborative_filtering
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339
Neural Graph Collaborative Filtering, SIGIR2019
Recommendation
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324
Recommendation System using ML and DL
Neural Collaborative Filtering
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312
pytorch version of neural collaborative filtering
Vae_cf
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309
Variational autoencoders for collaborative filtering
Librecommender
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288
Versatile End-to-End Recommender System
Recdb Postgresql
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262
RecDB is a recommendation engine built entirely inside PostgreSQL
Recommender
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249
A C library for product recommendations/suggestions using collaborative filtering (CF)
Movielens Recsys
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248
基于MovieLens-1M数据集实现的协同过滤算法demo
Summary Of Recommender System Papers
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230
阅读过的推荐系统论文的归类总结,持续更新中…
Awesome Recommender Systems
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195
A curated list of awesome resources about Recommender Systems.
Autoencoders_cf
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155
Beta Recsys
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152
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
Recotour
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147
A tour through recommendation algorithms in python [IN PROGRESS]
Recommender_live
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126
Recommender_system_with_python
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124
recommender system tutorial with Python
Nnrec
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120
Neural models for Collaborative Filtering
Collaborative Filtering
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114
Implemented Item, User and Hybrid based Collaborative Filtering
Deep Autoencoders For Collaborative Filtering
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111
Using Deep Autoencoders for predictions of movie ratings.
Convncf
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107
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Rectorch
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104
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Lr Gccf
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103
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Deepicf
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94
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
Ncf
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89
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Opencf
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88
PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.
Movie Recommender System
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86
Basic Movie Recommendation Web Application using user-item collaborative filtering.
Slopeone
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84
PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
Cf Nade
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81
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
Keras Movielens Cf
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75
A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
Research On Collaborative Filtering Algorithms
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65
Research on Collaborative Filtering Algorithms
Ngcf Pytorch
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57
PyTorch Implementation for Neural Graph Collaborative Filtering
Pycollaborativefiltering
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57
User-based and Item-based Collaborative Filtering algorithms written in Python
Reco
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55
a simple yet versatile recommendation systems library in python
Vae Cf Pytorch
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53
Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
Recosys
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50
personal learning resources and learning notes
Recsys_pytorch
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48
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
Recoder
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48
Large scale training of factorization models for Collaborative Filtering with PyTorch
Als_implementation
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43
Implementation of ALS algorithm from "Collaborative Filtering for Implicit Feedback Data"
Recsyspy
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42
Classic recommendation algorithms implementation
Cf4j
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40
CF4J: Collaborative Filtering for Java
Deeplearning4recommendersystem
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39
deep learning for recommender system
Memory Based Collaborative Filtering
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38
高效的协同过滤算法实现——推荐系统
Neural Networks For Collaborative Filtering
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37
Deep Learning for Recommendation
Recommendationengine
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37
[Deprecated] An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis
Climf
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36
collaborative less-is-more filtering
Test.fm
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36
Testing framework for Collaborative Filtering
Cfrbm
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35
CFRBM is a implementation of the RBM model to the collaborative filtering task
Restricted Boltzmann Machine
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35
Restricted Boltzmann Machine for collaborative filtering of movies.
Keras Recommender
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32
Recommender built using keras
Recommender Tutorial
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32
An introduction to recommendation systems in Python
Recommender_systems
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30
Recommender Systems Code Exploring Concepts with Surprise and Mlxtend Packages - Code for my blog article
Bi Vae
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30
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
Graph Based Recommendation System
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29
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
Neuacf
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29
Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
T Academy Recommendation
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28
T아카데미에서 진행한 82회차 추천시스템 강의 자료입니다.
Variational Autoencoders Collaborative Filtering
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28
This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spotify data
Recommendation Systems
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28
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matri
Unsupervised Predict Streamlit Template
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27
Streamlit-based recommender system for the EDSA Unsupervised Sprint
Svae_cf
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26
Sequential Variational Autoencoders for Collaborative Filtering
Deep Autoencoder Recommendation
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26
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Ract_cf
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25
Ranking-Critical Training for Collaborative Filtering
Ehcf
⭐
24
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Collab
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23
Collaborative filtering with the GP-LVM
Dgcf
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23
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
Recsys_autoencoders
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23
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
Cpsc540machinelearning
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22
Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas
Tensorglue
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22
Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
Spark Cassandra Collabfiltering
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22
Collaborative filtering with MLLib on Spark based on data in Cassandra
Cf_recommendation
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22
Collaborative Filtering Recommendation System Implementations in Ruby, including SVD and Incremental SVD
Recommender Systems Paper
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21
Must-read Papers for Recommender Systems (RS)
Recommender System
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21
In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.
Racf
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21
RACF (Recency Aware Collaborative Filtering) is the implementation of the "Recency Aware Collaborative Filtering for Next Basket Recommendation" original paper. which is a set of collaborative filtering approaches for solving the problem of predicting the Next Basket Recommendation.
Collaboratory
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20
Laboratory for collaborative filtering
Recommender Systems With Collaborative Filtering And Deep Learning Techniques
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19
Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
Recommendation Engine
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19
Building a very simple recommendation engine using collaborative filtering
Focus
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18
FOCUS is a context-aware collaborative-filtering system that exploits cross relationships among OSS projects to suggest the inclusion of additional API invocations and concrete API usage patterns.
Cp User Behavior
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18
Recommendation engine using collaborative filtering and matrix factorization
Persa.jl
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17
Recommender System framework for Julia
Cfdemo
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17
Some collaborative filtering algorithm demo: User/Item-based CF, ALS, word2vec etc.
Collaborativefiltering Rbm
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16
A variation of the Restricted Boltzmann Machine (RBM) for Collaborative Filtering tasks
Movie_recommendation_engine
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16
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
Travel Recommendation System
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16
Vacation Recommendation System using content based and Collaborative filtering techniques
Autorec
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16
TensorFlow implementation of AutoRec
Disentangled_graph_collaborative_filtering
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15
Disentagnled Graph Collaborative Filtering, SIGIR2020
Mahout_collaborative_filtering
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15
Recommendation, Classification, Clustering in Java
Qmazon
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15
Qt c++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset
Cisrec
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15
Cis Recommender
Self Attentive Ncf
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15
Source code for our Paper "Self-Attentive Neural Collaborative Filtering"
Neurec
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15
NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.
Trustsvd
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15
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
Cf Uica
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14
Code for "Collaborative Filtering with User-Item Co-Autoregressive Models"
Recommender Systems For Implicit Feedback Datasets
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14
Matrix Factorization augmented with customer item meta data
Csce670_ncf
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14
Neural Collaborative Filtering for CSCE670
Harvest.js
⭐
13
Collaborative filtering with node, redis and lua
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