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Best Practices on Recommendation Systems
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A Python implementation of LightFM, a hybrid recommendation algorithm.
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)
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A unified, comprehensive and efficient recommendation library
Deep recommender models using PyTorch.
Deep Learning For Recommendation Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Personalized, user-focused recommendations for employee information security.
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.
Classic papers and resources on recommendation
Machine Learning Platform and Recommendation Engine built on Kubernetes
A TensorFlow recommendation algorithm and framework in Python.
Awesome Deep Learning Papers For Search Recommendation Advertising
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).
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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 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
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
Some algorithms about traditional and social recommendation.
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
“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
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
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.
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Neural Graph Collaborative Filtering, SIGIR2019
A skeleton for Flask applications
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
Using Keras to implement recommender systems
reuse is a tool for compliance with the REUSE recommendations.
An Attention-Based User Behavior Modeling Framework for Recommendation
Deep Learning Tinder
Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
Versatile End-to-End Recommender System
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Python recommendation toolkit
Spark Recommendation Engine
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
Hands-On Recommendation Systems with Python published by Packt
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Book recommender system using collaborative filtering based on Spark
Python-based framework for building and evaluating session-based and session-aware recommender systems.
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
BiNE: Bipartite Network Embedding
TensorFlow implemenation of GRu4Rec model
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Playlist To Vec
An artist recommendation engine, from feeding Spotify playlists through word2vec
Adversarial Learning, Matrix Factorization, Recommendation
Spotify Recommendation Engine
Music Recommender System
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
entity2rec generates item recommendation using property-specific knowledge graph embeddings
A tour through recommendation algorithms in python [IN PROGRESS]
A clothing retrieval and visual recommendation model for fashion images.
Graph Neural Network based Social Recommendation Model. SIGIR2019.
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
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
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Graph Neural Networks for Social Recommendation, WWW'19
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
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
Neu Review Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
Tensorflow Recommendation Wals
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: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
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)
Sample AI Apps built with H2O Wave.
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
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
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
CORE is a plug-and-play conversational agent for any recommender system.
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
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
TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
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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