reczoo/FuxiCTR
A configurable, tunable library for training and evaluating deep learning CTR/CVR prediction models in recommender systems.
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FuxiCTR provides a modular and reproducible framework for click-through rate and conversion rate prediction, supporting multiple deep learning model architectures. It offers configurable data preprocessing pipelines and automatic hyperparameter tuning capabilities. The library targets both researchers and practitioners working on recommendation systems, online advertising, and sponsored search ranking.
Frequently asked
- What is reczoo/FuxiCTR?
- A configurable, tunable library for training and evaluating deep learning CTR/CVR prediction models in recommender systems.
- Is FuxiCTR open source?
- Yes — reczoo/FuxiCTR is open source, released under the Apache-2.0 license.
- What language is FuxiCTR written in?
- reczoo/FuxiCTR is primarily written in Python.
- How popular is FuxiCTR?
- reczoo/FuxiCTR has 1.5k stars on GitHub.
- Where can I find FuxiCTR?
- reczoo/FuxiCTR is on GitHub at https://github.com/reczoo/FuxiCTR.