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Search results for python collaborative filtering
collaborative-filtering
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python
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161 search results found
Implicit
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3,322
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Recbole
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3,038
A unified, comprehensive and efficient recommendation library
Deep Learning For Recommendation Systems
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2,141
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deepmatch
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1,906
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.
Neural_collaborative_filtering
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1,515
Neural Collaborative Filtering
Deeprecommender
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1,457
Deep learning for recommender systems
Deeprec
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1,068
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Recsys2019_deeplearning_evaluation
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871
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.
Neurec
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861
Next RecSys Library
Tutorials
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847
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Cornac
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782
A Comparative Framework for Multimodal Recommender Systems
Daisyrec
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496
This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.
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.
Neural_graph_collaborative_filtering
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339
Neural Graph Collaborative Filtering, SIGIR2019
Bars
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315
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Neural Collaborative Filtering
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312
pytorch version of neural collaborative filtering
Librecommender
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288
Versatile End-to-End Recommender System
Pytorch Fm
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268
Factorization Machine models in PyTorch
Recommender System
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254
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Elliot
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248
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Movietaster Open
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241
A practical movie recommend project based on Item2vec.
Letterboxd_recommendations
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190
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Recommendationsystem
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190
Book recommender system using collaborative filtering based on Spark
Collaborativememorynetwork
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174
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Recstudio
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153
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Rankfm
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150
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Recotour
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147
A tour through recommendation algorithms in python [IN PROGRESS]
Rec_pangu
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138
rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
Recbole Gnn
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128
Efficient and extensible GNNs enhanced recommender library based on RecBole.
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.
Enmf
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109
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.
Replay
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109
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
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
Rlmrec
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101
"RLMRec: Representation Learning with Large Language Models for Recommendation"
Movielens Recommender
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97
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
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
Movies_recommend
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87
movie recommender system in use Collaborative Filtering / 基于协同过滤的电影推荐系统
Tf Recsys
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76
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Oboe
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70
An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
Lightgcl
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66
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
Research On Collaborative Filtering Algorithms
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65
Research on Collaborative Filtering Algorithms
Recommend
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63
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
Collaborative Deep Learning For Recommender Systems
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58
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.
Reco
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55
a simple yet versatile recommendation systems library in python
Matrix Completion
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54
Lightweight Python library for in-memory matrix completion.
Spotify Song Recommendation Ml
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52
UC Berkeley team's submission for RecSys Challenge 2018
Bpr_mpr
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50
BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
Recoder
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48
Large scale training of factorization models for Collaborative Filtering with PyTorch
Recsys_pytorch
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48
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
Bspm
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46
Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
Cpr
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40
TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
Movie_recommend
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39
基于协同过滤和spark-als的电影推荐系统
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
Gcmc
⭐
36
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Test.fm
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36
Testing framework for Collaborative Filtering
Restricted Boltzmann Machine
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35
Restricted Boltzmann Machine for collaborative filtering of movies.
Autocf
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35
[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
Nncf
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35
Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
Deepcf
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34
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Lda4rec
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34
🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
Retailbox
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34
🛍️RetailBox - eCommerce Recommender System using Machine Learning
Keras Recommender
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32
Recommender built using keras
Gmcf_neural_graph_matching_based_collaborative_filtering
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32
GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021
Bi Vae
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30
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
Gformer
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30
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
Neuacf
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29
Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
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.
Srns
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28
Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
Hgcl
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23
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
Dgcf
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23
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
Movie_recommendation_engine
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23
This repository contains the code for building movie recommendation engine.
Neural Net Matrix Factorization
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22
Exploring neural networks (and variational inference) for collaborative filtering
Cpsc540machinelearning
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22
Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas
Dccf
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22
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
Tensorglue
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22
Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
Machine_learing_algo_python
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21
implement the machine learning algorithms by python for studying
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.
Loca
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20
This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'
Ucl Drl Msc
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19
Learning to Recommend using a Deep Reinforcement Agent
Recommendation System Baseline
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19
Some common recommendation system baseline, with description and link.
Diffkg
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19
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
Slrc
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17
Short-term and Life-time Repeat Consumption (SLRC) Model for Recommendation
Autorec
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16
TensorFlow implementation of AutoRec
Matrix Factorization
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16
Library for matrix factorization for recommender systems using collaborative filtering
Movie Recommender Using Rbm
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16
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
Self Attentive Ncf
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15
Source code for our Paper "Self-Attentive Neural Collaborative Filtering"
Neuralcf
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15
A fork from https://github.com/hexiangnan/neural_collaborative Change keras version to v2.1.3, and use tensorflow as the backend.
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
Disentangled_graph_collaborative_filtering
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15
Disentagnled Graph Collaborative Filtering, SIGIR2020
Pytorchcml
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14
PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.
Cf Uica
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14
Code for "Collaborative Filtering with User-Item Co-Autoregressive Models"
Tifuknn
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14
kNN-based next-basket recommendation
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