Myolive-Lin/RecSys--deep-learning-recommendation-system
深度学习推荐系统(Project based on Wang Zhe’s deep learning recommendation system)
This project helps e-commerce managers, content curators, or app developers build better recommendation engines. It takes user interaction data (like clicks, purchases, or views) and item information, then outputs a system that suggests personalized products, articles, or services to individual users. This is for anyone looking to improve user engagement and conversion rates through tailored recommendations.
No commits in the last 6 months.
Use this if you need to experiment with and implement various state-of-the-art recommendation algorithms, from traditional collaborative filtering to advanced deep learning models, to find the best fit for your specific platform's needs.
Not ideal if you're looking for a plug-and-play solution without needing to understand or customize the underlying recommendation models.
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3
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Jupyter Notebook
License
MIT
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Last pushed
May 12, 2025
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