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393 search results found

Recommenders ⭐ 20,168

Best Practices on Recommendation Systems

Models ⭐ 6,819

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

Lightfm ⭐ 4,505

A Python implementation of LightFM, a hybrid recommendation algorithm.

Paddlerec ⭐ 3,992

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、T MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAM Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWi 、movielens等

An implementation of a deep learning recommendation model (DLRM)

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Spotlight ⭐ 2,809

Deep recommender models using PyTorch.

Deep Learning For Recommendation Systems ⭐ 2,141

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Deepmatch ⭐ 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.

Reco Papers ⭐ 1,753

Classic papers and resources on recommendation

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Tensorrec ⭐ 1,180

A TensorFlow recommendation algorithm and framework in Python.

Awesome Deep Learning Papers For Search Recommendation Advertising ⭐ 1,167

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib).

Deeprec ⭐ 1,068

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Tf Recomm ⭐ 882

Tensorflow-based Recommendation systems

Next RecSys Library

Index and query analyzer for MongoDB: compares MongoDB log files and index entries to make index recommendations

Gru4rec ⭐ 717

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

Rsalgorithms ⭐ 676

Some algorithms about traditional and social recommendation.

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Elasticsearch Spark Recommender ⭐ 603

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Recommendersystems ⭐ 471

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Rechorus ⭐ 434

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Deep Ctr Prediction ⭐ 389

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Jstarcraft Rns ⭐ 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.

Caserecommender ⭐ 367

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Neural_graph_collaborative_filtering ⭐ 339

Neural Graph Collaborative Filtering, SIGIR2019

Flask Skeleton ⭐ 334

A skeleton for Flask applications

Openrec ⭐ 316

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Reinforced Recommendation toolkit build around pytorch 1.7

SASRec: Self-Attentive Sequential Recommendation

Keras Recommendation ⭐ 309

Using Keras to implement recommender systems

An Attention-Based User Behavior Modeling Framework for Recommendation

Librecommender ⭐ 288

Versatile End-to-End Recommender System

Python recommendation toolkit

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Recsys Dataset ⭐ 244

🛍 A real-world e-commerce dataset for session-based recommender systems research.

Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`

Spark Recommendation Engine ⭐ 222

Hands On Recommendation Systems With Python ⭐ 205

Hands-On Recommendation Systems with Python published by Packt

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Letterboxd_recommendations ⭐ 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 ⭐ 190

Book recommender system using collaborative filtering based on Spark

Session Rec ⭐ 177

Python-based framework for building and evaluating session-based and session-aware recommender systems.

Collaborativememorynetwork ⭐ 174

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Gru4rec_tensorflow ⭐ 169

TensorFlow implemenation of GRu4Rec model

BiNE: Bipartite Network Embedding

Comirec ⭐ 166

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

Playlist To Vec ⭐ 165

An artist recommendation engine, from feeding Spotify playlists through word2vec

Kgat Pytorch ⭐ 156

Entity2rec ⭐ 149

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Caser_pytorch ⭐ 141

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

Prediction Flow ⭐ 136

Deep-Learning based CTR models implemented by PyTorch

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Wave Apps ⭐ 133

Sample AI Apps built with H2O Wave.

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

Kdd2018_mpcn ⭐ 131

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

Personalized Fashion Recommendation and Generation

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Neu Review Rec ⭐ 126

A Toolkit for Neural Review-based Recommendation models with Pytorch.

Recommender_system_with_python ⭐ 124

recommender system tutorial with Python

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (python, numpy, scipy, matplotlib)

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.

Convncf ⭐ 107

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Recalgorithm ⭐ 104

主流推荐系统Rank算法的实现

Rectorch ⭐ 104

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Lr Gccf ⭐ 103

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

"RLMRec: Representation Learning with Large Language Models for Recommendation"

🌊 FluRS: A Python library for streaming recommendation algorithms

Neural Attentive Item Similarity Model ⭐ 100

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

A Recsys ⭐ 98

A Tensorflow based implicit recommender system

Movielens Recommender ⭐ 97

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Attentive Group Recommendation ⭐ 92

Attentive Group Recommendation

Sessionrec_narm ⭐ 88

Tartarus ⭐ 86

Deep Learning for audio and text

Crab - A recommendation engine library for Python

Twitter Stock Recommendation ⭐ 76

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

Kgpolicy ⭐ 75

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Exposure Matrix Factorization: modeling user exposure in recommendation

Gender Bias ⭐ 71

Reading for gender bias

Lightgcl ⭐ 66

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Research On Collaborative Filtering Algorithms ⭐ 65

Research on Collaborative Filtering Algorithms

Recbole Cdr ⭐ 64

This is a library built upon RecBole for cross-domain recommendation algorithms

Persine is an automated tool to study and reverse-engineer algorithmic recommendation systems.

Sequential_recommendation_tensorflow ⭐ 62

Several sequential recommended models implemented by tenosrflow1.x

Ariel is an AWS Lambda designed to collect, analyze, and make recommendations about Reserved Instances for EC2.

Deep reinforcement learning for recommendation system

Pycollaborativefiltering ⭐ 57

User-based and Item-based Collaborative Filtering algorithms written in Python

Generativeadversarialusermodel ⭐ 56

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

⭕️ Building Recommendation Engines in Python

a simple yet versatile recommendation systems library in python

Scenariometa ⭐ 54

Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

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