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recommender-system

Implementation of Inferring Networks of Substitutable and Complementary Products Model paper

recommender-system-1

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

recommender-systems-with-heterogeneous-side-information

The source code for "Recommender Systems with Heterogeneous Side Information", WWW 2019.

recommender_systems

recommenders

Best Practices on Recommendation Systems

recommenders-1

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

recommending-movies

Recommending movies based on a utility function of movie ratings

recosystem

Recommender System Using Parallel Matrix Factorization

recotour

A tour through recommendation algorithms in python [IN PROGRESS]

recq

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

recseq2seq_pytorch

Implementing a sequence to sequence RNN Recommendation System in Pytorch

recsim

A Configurable Recommender Systems Simulation Platform

recsim_ng

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

recsys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

recsys-1

LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。

recsys-challenge-2020-twitter

The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano

recsys-diversity-pandor

recsys-for-playlist-continuation

State-of-the-art Papers & Codes on Recommender System for Playlist Continuation (2018~2020)

recsys-papers-from-sigir-2020

Full papers related to the Recommender System from SIGIR 2020

recsys-proj

推荐系统

recsys-tutorial

Tutorials and examples of various recommender systems in industrial applications

recsys19_hybridsvd

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

recsys2019

2'nd Place Approach by Layer6 AI to the 2019 ACM RecSys Challenge

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

recsys2020

Layer6 AI Code Repository for the RecSys 2020 Challenge

recsys2021-tutorial

https://sites.google.com/cornell.edu/recsys2021tutorial

recsys_justification

recsys_pytorch

PyTorch implementations of deep learning based RecSys