John-Wendell/USB_Rec
The official code of Recsys'25 paper 'USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model'
This project helps e-commerce managers, content curators, and customer service teams enhance their AI-driven recommendation systems. It takes an existing large language model and recommendation datasets to produce a refined system capable of more nuanced, conversational product or content suggestions for users. The end-user persona would be someone responsible for improving customer engagement and sales through personalized recommendations.
Use this if you want to improve how your AI chatbot or recommendation engine converses with users to offer more relevant and helpful suggestions.
Not ideal if you are looking for a standalone recommendation system from scratch, as it focuses on enhancing existing large language models.
Stars
22
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Language
Python
License
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Category
Last pushed
Nov 04, 2025
Commits (30d)
0
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