sichunluo/RecRanker
[TOIS'24] "RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation"
This project helps e-commerce sites, streaming services, or content platforms improve their product recommendation systems. It takes information about user preferences and items, then outputs a personalized, ordered list of top recommendations for each user. This is designed for machine learning engineers or data scientists working on recommender systems.
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Use this if you are developing or fine-tuning recommendation models and want to leverage large language models to provide more accurate and diverse 'top-k' item rankings.
Not ideal if you are looking for a plug-and-play recommendation system without expertise in machine learning model training or if your primary goal is not to enhance existing LLM-based rankers.
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Language
Python
License
GPL-3.0
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Last pushed
Dec 01, 2024
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