A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

deepmatch

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.

dlrm

An implementation of a deep learning recommendation model (DLRM)

dynamic-fairness

Dynamic Fair Rankings

ebpr

Pytorch implementation of the paper "Debiased Explainable Pairwise Ranking from Implicit Feedback".

elasticsearch-analysis-ik

The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.

elasticsearch-jdbc

JDBC importer for Elasticsearch

elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

enmf

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.

fairai

This is a collection of papers and other resources related to fairness.

fairgan

FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback

fairlearn

A Python package to assess and improve fairness of machine learning models.

fairness-aware-recommendation-algorithms

This repo will update the state-of-the-art fairness-aware recommendation algorithms

fairness_aware_re-ranking

Implementation of the paper "Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search"

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