VinAIResearch/RecGPT

RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)

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Experimental

RecGPT helps create recommendation systems that understand and generate personalized suggestions based on text data, like product descriptions or user reviews. You feed it text information about items or user preferences, and it outputs tailored recommendations. This is for machine learning engineers or data scientists building advanced recommendation engines.

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Use this if you need to build a recommendation system that leverages the nuances of text descriptions and user-generated text to provide more intelligent and relevant suggestions.

Not ideal if your recommendation needs are purely based on numerical data, user clickstreams, or item IDs without significant textual information.

recommendation-systems natural-language-processing machine-learning-engineering e-commerce-personalization
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 3 / 25

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Python

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Last pushed

Sep 22, 2024

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