Tensorflow implementation of DeepFM for CTR prediction.

Recommender Learning with Tensorflow2.x

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Distributed FM and LR based on Parameter Server with Ftrl

Accelerating Inference for Recommendation Systems (WSDM'21)

A Python/C++ implementation of Bayesian Factorization Machines

Recommendation Models in TensorFlow

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

implementation of factorization machine, support classification.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Factorization Machine, Deep Learning, Recommender System

CTR Prediction on PyTorch

Python implementation of Factorization Machine

Factorization machine and its variations for recommendation systems

Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.

Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.

Notes on papers related to factorization machines

This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'

An implementation of WARP/FM for hybrid recommendation in Cython.