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)
Accelerating Inference for Recommendation Systems (WSDM'21)
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Recommendation Models in TensorFlow
Factorization Machine, Deep Learning, Recommender System
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
CTR Prediction on PyTorch
Python implementation of Factorization Machine
Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
Reusable deep learning models for recommendation systems
Joint Embedding-classifier Learning for improved Interpretability (JELI)
Recommender system using factorization models
An implementation for https://ojs.aaai.org/index.php/AAAI/article/view/4448
An implementation of WARP/FM for hybrid recommendation in Cython.
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