Best Practices on Recommendation Systems

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

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair…

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Versatile End-to-End Recommender System

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

A Comparative Framework for Multimodal Recommender Systems

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

Next RecSys Library

Papers about recommendation systems that I am interested in

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

A tensorflow implementation of RippleNet

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

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

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Adversarial Learning, Matrix Factorization, Recommendation

Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

SASRec: Self-Attentive Sequential Recommendation

A tour through recommendation algorithms in python [IN PROGRESS]

A library of metrics for evaluating recommender systems

A collection of resources for Recommender Systems (RecSys)

🌊 FluRS: A Python library for streaming recommendation algorithms

A Python implementation of LightFM, a hybrid recommendation algorithm.