[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
Explore how large language models can rank items for recommendation systems based on user interactions.
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LLMRank has 325 stars on GitHub. It has been forked 31 times. LLMRank is written mainly in Python. It has been in active development since 2023. LLMRank is available under the MIT license. Its main topics are chatgpt, large-language-models, recommendation-system, recommender-system.
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
LLMRank is an open-source project. It is released under the MIT license.
Yes. LLMRank is free and open source — you can use, modify and self-host it.
LLMRank is available under the MIT license.
LLMRank is written mainly in Python.
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