This library intends to be a reference for recommendation engines in Python

Last update: Oct 04, 2021

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Overview

Crab - A Python Library for Recommendation Engines 

This library intends to be a reference for recommendation engines in Python Programming language.
It is written in pure python to maximize the cross-platform issue and exposes the recommendation logic to your application by easy to use API REST via web services. 
The library is extensible, so the user can create new representations, algorithms and the design is optimized for performance.

It is also open-source so everyone can use it.


If you want to see our plan release/roadmap, please take a look at our Issues Tracker:

http://github.com/marcelcaraciolo/crab/issues

Owner

Marcel Caraciolo

GitHub Repository

Attentive Social Recommendation: Towards User And Item Diversities

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The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

GCE-GNN Code This is the source code for SIGIR 2020 Paper: Global Context Enhanced Graph Neural Networks for Session-based Recommendation. Requirement

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Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks

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A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (

31 Jan 04, 2023

This library intends to be a reference for recommendation engines in Python

Related tags

Overview

Owner

Marcel Caraciolo

Attentive Social Recommendation: Towards User And Item Diversities

A library of Recommender Systems

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks

6002project-rl - An implemention of offline RL on recommender system

Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021

Movie Recommender System

Mutual Fund Recommender System. Tailor for fund transactions.

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

A Library for Field-aware Factorization Machines

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

基于个性化推荐的音乐播放系统

Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

Code for KHGT model, AAAI2021