Leavingseason/OpenLearning4DeepRecsys
TensorFlow implementations of deep learning recommendation system models including DeepFM, Neural Collaborative Filtering, and CCFNet.
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This repository provides open-source implementations of several deep learning-based recommendation systems. It includes DeepFM (factorization machine combined with neural networks for CTR prediction), Neural Collaborative Filtering (NeuCF), Content-Boosted Collaborative Filtering Neural Network (CCFNet), and Biased Matrix Factorization models. All implementations are built using TensorFlow and come with demo datasets such as MovieLens and Douban.
Frequently asked
- What is Leavingseason/OpenLearning4DeepRecsys?
- TensorFlow implementations of deep learning recommendation system models including DeepFM, Neural Collaborative Filtering, and CCFNet.
- Is OpenLearning4DeepRecsys open source?
- Yes — Leavingseason/OpenLearning4DeepRecsys is an open-source project tracked on heatdrop.
- What language is OpenLearning4DeepRecsys written in?
- Leavingseason/OpenLearning4DeepRecsys is primarily written in Python.
- How popular is OpenLearning4DeepRecsys?
- Leavingseason/OpenLearning4DeepRecsys has 400 stars on GitHub.
- Where can I find OpenLearning4DeepRecsys?
- Leavingseason/OpenLearning4DeepRecsys is on GitHub at https://github.com/Leavingseason/OpenLearning4DeepRecsys.