yj8023xx/xiwenlejian

一个基于深度学习的书籍推荐系统,可以根据用户的行为进行个性化的推荐

19
/ 100
Experimental

This project helps online bookstores and content platforms provide personalized book recommendations to their users. By analyzing user behavior such as past reads or browsing history, it generates tailored suggestions. This system is designed for anyone managing a digital book catalog who wants to enhance user engagement and discovery.

No commits in the last 6 months.

Use this if you manage an online book platform and want to offer a sophisticated, AI-driven recommendation engine to your users.

Not ideal if you are looking for a simple, rule-based recommendation system or are not dealing with a large volume of user behavior data.

book-recommendation e-commerce content-discovery online-bookstore customer-engagement
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 4 / 25

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Jupyter Notebook

License

Last pushed

Sep 15, 2024

Commits (30d)

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