Reusable deep learning models for recommendation systems
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Updated
Aug 20, 2020 - Python
Reusable deep learning models for recommendation systems
✏Study Recommender System
Notes on papers related to factorization machines
Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
hybrid recommender system using lightfm
An implementation of WARP/FM for hybrid recommendation in Cython.
An implementation for https://ojs.aaai.org/index.php/AAAI/article/view/4448
This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
Factorization Machine Learning
implementation of factorization machine, support classification.
Python implementation of Factorization Machine
Factorization machine and its variations for recommendation systems
CTR Prediction on PyTorch
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
A Python/C++ implementation of Bayesian Factorization Machines
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Factorization Machine, Deep Learning, Recommender System
Recommendation Models in TensorFlow
Accelerating Inference for Recommendation Systems (WSDM'21)
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