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833 search results found

Recommenders ⭐ 16,387

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 ⭐ 4,407

A Python implementation of LightFM, a hybrid recommendation algorithm.

Paddlerec ⭐ 3,903

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)

Implicit ⭐ 3,269

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Recbole ⭐ 2,842

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

Stethoscope ⭐ 2,001

Personalized, user-focused recommendations for employee information security.

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 ⭐ 1,100

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.

[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

Rsalgorithms ⭐ 515

Some algorithms about traditional and social recommendation.

Content Engine ⭐ 506

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

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

Reuse Tool ⭐ 302

reuse is a tool for compliance with the REUSE recommendations.

An Attention-Based User Behavior Modeling Framework for Recommendation

Deep Learning Tinder ⭐ 254

Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).

Librecommender ⭐ 248

Versatile End-to-End Recommender System

Recsys Dataset ⭐ 244

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

Python recommendation toolkit

Spark Recommendation Engine ⭐ 222

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Hands On Recommendation Systems With Python ⭐ 205

Hands-On Recommendation Systems with Python published by Packt

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

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

Sigir2020_peterrec ⭐ 170

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

BiNE: Bipartite Network Embedding

Gru4rec_tensorflow ⭐ 169

TensorFlow implemenation of GRu4Rec model

Letterboxd_recommendations ⭐ 168

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Tensorflow_practice ⭐ 168

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

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

Adversarial_personalized_ranking ⭐ 163

Adversarial Learning, Matrix Factorization, Recommendation

Spotify Recommendation Engine ⭐ 161

Music Recommender System

Kgat Pytorch ⭐ 156

Beta Recsys ⭐ 152

Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Entity2rec ⭐ 149

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Recotour ⭐ 147

A tour through recommendation algorithms in python [IN PROGRESS]

Fashion Recommendation ⭐ 146

A clothing retrieval and visual recommendation model for fashion images.

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

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'

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

Multitask Recommendation Library ⭐ 132

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

Graphrec Www19 ⭐ 131

Graph Neural Networks for Social Recommendation, WWW'19

Kdd2018_mpcn ⭐ 131

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

Word2vec Recommender ⭐ 128

Recommendation engine based on contextual word embeddings

Personalized Fashion Recommendation and Generation

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

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

Joint Kg Recommender ⭐ 127

Neu Review Rec ⭐ 126

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

Tensorflow Recommendation Wals ⭐ 126

An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:

Bert4rec ⭐ 125

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

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)

Wave Apps ⭐ 121

Sample AI Apps built with H2O Wave.

Recommendation_model ⭐ 116

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

Spark Knn Recommender ⭐ 113

Item and User-based KNN recommendation algorithms using PySpark

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.

Yelper_recommendation_system ⭐ 108

Yelper recommendation system

Convncf ⭐ 107

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

CORE is a plug-and-play conversational agent for any recommender system.

Rectorch ⭐ 104

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

Wsdm2022 Ptupcdr ⭐ 103

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Lr Gccf ⭐ 103

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

🌊 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

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

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