Tensorflow implementation of DeepFM for CTR prediction.
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Updated
Jun 10, 2018 - Python
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).
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
implementation of factorization machine, support classification.
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
Joint Embedding-classifier Learning for improved Interpretability (JELI)
An implementation of WARP/FM for hybrid recommendation in Cython.
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