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)
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".
Factorization Machine, Deep Learning, Recommender System
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.
An implementation of WARP/FM for hybrid recommendation in Cython.
Joint Embedding-classifier Learning for improved Interpretability (JELI)
Reusable deep learning models for recommendation systems
Recommender system using factorization models
An implementation for https://ojs.aaai.org/index.php/AAAI/article/view/4448
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