ChenglongChen/tensorflow-DeepFM
TensorFlow implementation of DeepFM, a deep learning model for CTR prediction in recommendation and advertising systems.
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This repository provides a TensorFlow implementation of DeepFM, which combines Factorization Machines with deep neural networks to predict click-through rates. It takes sparse feature indices and values as input and produces binary classification or regression predictions. The model was notably used to achieve 4th place in the Mercari Price Suggestion Challenge on Kaggle.
Frequently asked
- What is ChenglongChen/tensorflow-DeepFM?
- TensorFlow implementation of DeepFM, a deep learning model for CTR prediction in recommendation and advertising systems.
- Is tensorflow-DeepFM open source?
- Yes — ChenglongChen/tensorflow-DeepFM is open source, released under the MIT license.
- What language is tensorflow-DeepFM written in?
- ChenglongChen/tensorflow-DeepFM is primarily written in Python.
- How popular is tensorflow-DeepFM?
- ChenglongChen/tensorflow-DeepFM has 2.1k stars on GitHub.
- Where can I find tensorflow-DeepFM?
- ChenglongChen/tensorflow-DeepFM is on GitHub at https://github.com/ChenglongChen/tensorflow-DeepFM.