Tensorflow implementation of DeepFM for CTR prediction.
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Updated
Jun 10, 2018 - Python
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factorization-machineHere are 30 public repositories matching this topic...Sort: Most stars
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Tensorflow implementation of DeepFM for CTR prediction.
Recommender Learning with Tensorflow2.x
neural-network afm python3 matrix-factorization recommender-system fm ffm ctr-prediction criteo dcn factorization-machine deepfm ncf xdeepfm pnn nfm deepcross tensorflow2 widedeep
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
python deep-learning neural-network tensorflow collaborative-filtering matrix-factorization recommendation-system recommendation recommender-systems rating-prediction factorization-machine top-n-recommendations
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
afm transformer resnet recommendation recommendation-algorithms ctr-prediction ctr recommendation-algorithm factorization-machine deepfm xdeepfm deep-ctr ad-algorithm esmm deep-cross deep-interest-network fibinet
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
collaborative-filtering factorization-machines bayesian-inference regression-models gibbs-sampler ordinal-regression factorization-machine gibbs-sampling-algorithm
Recommendation Models in TensorFlow
deep-learning tensorflow recommendation-engine recommender-system google-cloud-platform movielens wide-and-deep factorization-machine deepfm cloud-ml-engine tensorflow-distributed google-cloud-ml-engine
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
machine-learning data-mining word2vec sklearn deepwalk matrix-factorization dimensionality-reduction gradient-boosting-machine unsupervised-learning network-embedding nmf gradient-boosting boosting node2vec factorization-machine nmf-decomposition node-embedding l-ensnmf boosting-machine boostedne
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
data-science machine-learning data-mining analytics word2vec deepwalk pca regularization word2vec-model information-network embedding network-embedding nmf node2vec factorization-machine graph-embedding artifical-intelligence graph2vec node-embedding fscnmf
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.
deep-learning wide-and-deep factorization-machine neural-factorization-machines categorical-features deepfm multimodal multimodal-deep-learning deep-and-cross
Notes on papers related to factorization machines
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
collaborative-filtering recommender-system hybrid-modeling factorization-machine basket-analysis grocery-shopping
This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'
collaborative-filtering recommendation-system movielens-dataset multi-armed-bandit factorization-machine association-rule-learning deepfm bayesian-personalized-ranking tensorflow2 last-fm-dataset frappe-dataset learning-spoons
An implementation of WARP/FM for hybrid recommendation in Cython.
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