Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Paper List of Pre-trained Foundation Recommender Models
Explore a collection of research papers on improving recommendation systems using large language models.
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Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review has 368 stars on GitHub. It has been forked 27 times. It has been in active development since 2023. Its main topics are chatgpt, chatgpt3, chatgpt4rec, cross-domain-recommendation.
What is Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review?
Paper List of Pre-trained Foundation Recommender Models
Is Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review open source?
Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review is an open-source project.
Is Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review free?
Yes. Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review is free and open source — you can use, modify and self-host it.
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